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authorDaniel Baumann <daniel.baumann@progress-linux.org>2021-02-07 11:45:55 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2021-02-07 11:45:55 +0000
commita8220ab2d293bb7f4b014b79d16b2fb05090fa93 (patch)
tree77f0a30f016c0925cf7ee9292e644bba183c2774 /docs/guides
parentAdding upstream version 1.19.0. (diff)
downloadnetdata-a8220ab2d293bb7f4b014b79d16b2fb05090fa93.tar.xz
netdata-a8220ab2d293bb7f4b014b79d16b2fb05090fa93.zip
Adding upstream version 1.29.0.upstream/1.29.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'docs/guides')
-rw-r--r--docs/guides/collect-apache-nginx-web-logs.md161
-rw-r--r--docs/guides/collect-unbound-metrics.md138
-rw-r--r--docs/guides/configure/performance.md235
-rw-r--r--docs/guides/deploy/ansible.md174
-rw-r--r--docs/guides/export/export-netdata-metrics-graphite.md184
-rw-r--r--docs/guides/longer-metrics-storage.md160
-rw-r--r--docs/guides/monitor-cockroachdb.md136
-rw-r--r--docs/guides/monitor-hadoop-cluster.md204
-rw-r--r--docs/guides/monitor/anomaly-detection.md191
-rw-r--r--docs/guides/monitor/dimension-templates.md176
-rw-r--r--docs/guides/monitor/kubernetes-k8s-netdata.md278
-rw-r--r--docs/guides/monitor/pi-hole-raspberry-pi.md163
-rw-r--r--docs/guides/monitor/process.md299
-rw-r--r--docs/guides/monitor/stop-notifications-alarms.md92
-rw-r--r--docs/guides/monitor/visualize-monitor-anomalies.md147
-rw-r--r--docs/guides/step-by-step/step-00.md115
-rw-r--r--docs/guides/step-by-step/step-01.md156
-rw-r--r--docs/guides/step-by-step/step-02.md208
-rw-r--r--docs/guides/step-by-step/step-03.md91
-rw-r--r--docs/guides/step-by-step/step-04.md144
-rw-r--r--docs/guides/step-by-step/step-05.md343
-rw-r--r--docs/guides/step-by-step/step-06.md122
-rw-r--r--docs/guides/step-by-step/step-07.md114
-rw-r--r--docs/guides/step-by-step/step-08.md395
-rw-r--r--docs/guides/step-by-step/step-09.md164
-rw-r--r--docs/guides/step-by-step/step-10.md230
-rw-r--r--docs/guides/step-by-step/step-99.md51
-rw-r--r--docs/guides/troubleshoot/monitor-debug-applications-ebpf.md268
-rw-r--r--docs/guides/using-host-labels.md212
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diff --git a/docs/guides/collect-apache-nginx-web-logs.md b/docs/guides/collect-apache-nginx-web-logs.md
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+<!--
+title: "Monitor Nginx or Apache web server log files with Netdata"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/collect-apache-nginx-web-logs.md
+-->
+
+# Monitor Nginx or Apache web server log files with Netdata
+
+Log files have been a critical resource for developers and system administrators who want to understand the health and
+performance of their web servers, and Netdata is taking important steps to make them even more valuable.
+
+By parsing web server log files with Netdata, and seeing the volume of redirects, requests, or server errors over time,
+you can better understand what's happening on your infrastructure. Too many bad requests? Maybe a recent deploy missed a
+few small SVG icons. Too many requests? Time to batten down the hatches—it's a DDoS.
+
+Netdata has been capable of monitoring web log files for quite some time, thanks for the [weblog python.d
+module](/collectors/python.d.plugin/web_log/README.md), but we recently refactored this module in Go, and that effort
+comes with a ton of improvements.
+
+You can now use the [LTSV log format](http://ltsv.org/), track TLS and cipher usage, and the whole parser is faster than
+ever. In one test on a system with SSD storage, the collector consistently parsed the logs for 200,000 requests in
+200ms, using ~30% of a single core. To learn more about these improvements, see our [v1.19 release post](https://blog.netdata.cloud/posts/release-1.19/).
+
+The [go.d plugin](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog/) is currently compatible
+with [Nginx](https://nginx.org/en/) and [Apache](https://httpd.apache.org/).
+
+This guide will walk you through using the new Go-based web log collector to turn the logs these web servers
+constantly write to into real-time insights into your infrastructure.
+
+## Set up your web servers
+
+As with all data sources, Netdata can auto-detect Nginx or Apache servers if you installed them using their standard
+installation procedures.
+
+Almost all web server installations will need _no_ configuration to start collecting metrics. As long as your web server
+has readable access log file, you can configure the web log plugin to access and parse it.
+
+## Configure the web log collector
+
+To use the Go version of this plugin, you need to explicitly enable it, and disable the deprecated Python version.
+First, open `python.d.conf`:
+
+```bash
+cd /etc/netdata/ # Replace with your Netdata configuration directory, if not /etc/netdata/
+./edit-config python.d.conf
+```
+
+Find the `web_log` line, uncomment it, and set it to `web_log: no`. Next, open the `go.d.conf` file for editing.
+
+```bash
+./edit-config go.d.conf
+```
+
+Find the `web_log` line again, uncomment it, and set it to `web_log: yes`.
+
+Finally, restart Netdata with `service netdata restart`, or the appropriate method for your system. You should see
+metrics in your Netdata dashboard!
+
+![Example of real-time web server log metrics in Netdata's
+dashboard](https://user-images.githubusercontent.com/1153921/69448130-2980c280-0d15-11ea-9fa5-6dcff25a92c3.png)
+
+If you don't see web log charts, or **web log nginx**/**web log apache** menus on the right-hand side of your dashboard,
+continue reading for other configuration options.
+
+## Custom configuration of the web log collector
+
+The web log collector's default configuration comes with a few example jobs that should cover most Linux distributions
+and their default locations for log files:
+
+```yaml
+# [ JOBS ]
+jobs:
+# NGINX
+# debian, arch
+ - name: nginx
+ path: /var/log/nginx/access.log
+
+# gentoo
+ - name: nginx
+ path: /var/log/nginx/localhost.access_log
+
+# APACHE
+# debian
+ - name: apache
+ path: /var/log/apache2/access.log
+
+# gentoo
+ - name: apache
+ path: /var/log/apache2/access_log
+
+# arch
+ - name: apache
+ path: /var/log/httpd/access_log
+
+# debian
+ - name: apache_vhosts
+ path: /var/log/apache2/other_vhosts_access.log
+
+# GUNICORN
+ - name: gunicorn
+ path: /var/log/gunicorn/access.log
+
+ - name: gunicorn
+ path: /var/log/gunicorn/gunicorn-access.log
+```
+
+However, if your log files were not auto-detected, it might be because they are in a different location. Try the default
+`web_log.conf` file.
+
+```bash
+./edit-config go.d/web_log.conf
+```
+
+To create a new custom configuration, you need to set the `path` parameter to point to your web server's access log
+file. You can give it a `name` as well, and set the `log_type` to `auto`.
+
+```yaml
+jobs:
+ - name: example
+ path: /path/to/file.log
+ log_type: auto
+```
+
+Restart Netdata with `service netdata restart` or the appropriate method for your system. Netdata should pick up your
+web server's access log and begin showing real-time charts!
+
+### Custom log formats and fields
+
+The web log collector is capable of parsing custom Nginx and Apache log formats and presenting them as charts, but we'll
+leave that topic for a separate guide.
+
+We do have [extensive
+documentation](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog/#custom-log-format) on how
+to build custom parsing for Nginx and Apache logs.
+
+## Tweak web log collector alarms
+
+Over time, we've created some default alarms for web log monitoring. These alarms are designed to work only when your
+web server is receiving more than 120 requests per minute. Otherwise, there's simply not enough data to make conclusions
+about what is "too few" or "too many."
+
+- [web log alarms](https://raw.githubusercontent.com/netdata/netdata/master/health/health.d/web_log.conf).
+
+You can also edit this file directly with `edit-config`:
+
+```bash
+./edit-config health.d/weblog.conf
+```
+
+For more information about editing the defaults or writing new alarm entities, see our [health monitoring
+documentation](/health/README.md).
+
+## What's next?
+
+Now that you have web log collection up and running, we recommend you take a look at the documentation for our
+[python.d](/collectors/python.d.plugin/web_log/README.md) for some ideas of how you can turn these rather "boring" logs
+into powerful real-time tools for keeping your servers happy.
+
+Don't forget to give GitHub user [Wing924](https://github.com/Wing924) a big 👍 for his hard work in starting up the Go
+refactoring effort.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fcollect-apache-nginx-web-logs&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/collect-unbound-metrics.md b/docs/guides/collect-unbound-metrics.md
new file mode 100644
index 000000000..299464745
--- /dev/null
+++ b/docs/guides/collect-unbound-metrics.md
@@ -0,0 +1,138 @@
+<!--
+title: "Monitor Unbound DNS servers with Netdata"
+date: 2020-03-31
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/collect-unbound-metrics.md
+-->
+
+# Monitor Unbound DNS servers with Netdata
+
+[Unbound](https://nlnetlabs.nl/projects/unbound/about/) is a "validating, recursive, caching DNS resolver" from NLNet
+Labs. In v1.19 of Netdata, we release a completely refactored collector for collecting real-time metrics from Unbound
+servers and displaying them in Netdata dashboards.
+
+Unbound runs on FreeBSD, OpenBSD, NetBSD, macOS, Linux, and Windows, and supports DNS-over-TLS, which ensures that DNS
+queries and answers are all encrypted with TLS. In theory, that should reduce the risk of eavesdropping or
+man-in-the-middle attacks when communicating to DNS servers.
+
+This guide will show you how to collect dozens of essential metrics from your Unbound servers with minimal
+configuration.
+
+## Set up your Unbound installation
+
+As with all data sources, Netdata can auto-detect Unbound servers if you installed them using the standard installation
+procedure.
+
+Regardless of whether you're connecting to a local or remote Unbound server, you need to be able to access the server's
+`remote-control` interface via an IP address, FQDN, or Unix socket.
+
+To set up the `remote-control` interface, you can use `unbound-control`. First, run `unbound-control-setup` to generate
+the TLS key files that will encrypt connections to the remote interface. Then add the following to the end of your
+`unbound.conf` configuration file. See the [Unbound
+documentation](https://nlnetlabs.nl/documentation/unbound/howto-setup/#setup-remote-control) for more details on using
+`unbound-control`, such as how to handle situations when Unbound is run under a unique user.
+
+```conf
+# enable remote-control
+remote-control:
+ control-enable: yes
+```
+
+Next, make your `unbound.conf`, `unbound_control.key`, and `unbound_control.pem` files readable by Netdata using [access
+control lists](https://wiki.archlinux.org/index.php/Access_Control_Lists) (ACL).
+
+```bash
+sudo setfacl -m user:netdata:r unbound.conf
+sudo setfacl -m user:netdata:r unbound_control.key
+sudo setfacl -m user:netdata:r unbound_control.pem
+```
+
+Finally, take note whether you're using Unbound in _cumulative_ or _non-cumulative_ mode. This will become relevant when
+configuring the collector.
+
+## Configure the Unbound collector
+
+You may not need to do any more configuration to have Netdata collect your Unbound metrics.
+
+If you followed the steps above to enable `remote-control` and make your Unbound files readable by Netdata, that should
+be enough. Restart Netdata with `service netdata restart`, or the appropriate method for your system. You should see
+Unbound metrics in your Netdata dashboard!
+
+![Some charts showing Unbound metrics in real-time](https://user-images.githubusercontent.com/1153921/69659974-93160f00-103c-11ea-88e6-27e9efcf8c0d.png)
+
+If that failed, you will need to manually configure `unbound.conf`. See the next section for details.
+
+### Manual setup for a local Unbound server
+
+To configure Netdata's Unbound collector module, navigate to your Netdata configuration directory (typically at
+`/etc/netdata/`) and use `edit-config` to initialize and edit your Unbound configuration file.
+
+```bash
+cd /etc/netdata/ # Replace with your Netdata configuration directory, if not /etc/netdata/
+sudo ./edit-config go.d/unbound.conf
+```
+
+The file contains all the global and job-related parameters. The `name` setting is required, and two Unbound servers
+can't have the same name.
+
+> It is important you know whether your Unbound server is running in cumulative or non-cumulative mode, as a conflict
+> between modes will create incorrect charts.
+
+Here are two examples for local Unbound servers, which may work based on your unique setup:
+
+```yaml
+jobs:
+ - name: local
+ address: 127.0.0.1:8953
+ cumulative: no
+ use_tls: yes
+ tls_skip_verify: yes
+ tls_cert: /path/to/unbound_control.pem
+ tls_key: /path/to/unbound_control.key
+
+ - name: local
+ address: 127.0.0.1:8953
+ cumulative: yes
+ use_tls: no
+```
+
+Netdata will attempt to read `unbound.conf` to get the appropriate `address`, `cumulative`, `use_tls`, `tls_cert`, and
+`tls_key` parameters.
+
+Restart Netdata with `service netdata restart`, or the appropriate method for your system.
+
+### Manual setup for a remote Unbound server
+
+Collecting metrics from remote Unbound servers requires manual configuration. There are too many possibilities to cover
+all remote connections here, but the [default `unbound.conf`
+file](https://github.com/netdata/go.d.plugin/blob/master/config/go.d/unbound.conf) contains a few useful examples:
+
+```yaml
+jobs:
+ - name: remote
+ address: 203.0.113.10:8953
+ use_tls: no
+
+ - name: remote_cumulative
+ address: 203.0.113.11:8953
+ use_tls: no
+ cumulative: yes
+
+ - name: remote
+ address: 203.0.113.10:8953
+ cumulative: yes
+ use_tls: yes
+ tls_cert: /etc/unbound/unbound_control.pem
+ tls_key: /etc/unbound/unbound_control.key
+```
+
+To see all the available options, see the default [unbound.conf
+file](https://github.com/netdata/go.d.plugin/blob/master/config/go.d/unbound.conf).
+
+## What's next?
+
+Now that you're collecting metrics from your Unbound servers, let us know how it's working for you! There's always room
+for improvement or refinement based on real-world use cases. Feel free to [file an
+issue](https://github.com/netdata/netdata/issues/new?labels=bug%2C+needs+triage&template=bug_report.md) with your
+thoughts.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Funbound-metrics&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/configure/performance.md b/docs/guides/configure/performance.md
new file mode 100644
index 000000000..5f93a8cd4
--- /dev/null
+++ b/docs/guides/configure/performance.md
@@ -0,0 +1,235 @@
+<!--
+title: How to optimize the Netdata Agent's performance
+description: "While the Netdata Agent is designed to monitor a system with only 1% CPU, you can optimize its performance for low-resource systems."
+image: /img/seo/guides/configure/performance.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/configure/performance.md
+-->
+
+# How to optimize the Netdata Agent's performance
+
+We designed the Netdata Agent to be incredibly lightweight, even when it's collecting a few thousand dimensions every
+second and visualizing that data into hundreds of charts. The Agent itself should never use more than 1% of a single CPU
+core, roughly 100 MiB of RAM, and minimal disk I/O to collect, store, and visualize all this data.
+
+We take this scalability seriously. We have one user [running
+Netdata](https://github.com/netdata/netdata/issues/1323#issuecomment-266427841) on a system with 144 cores and 288
+threads. Despite collecting 100,000 metrics every second, the Agent still only uses 9% CPU utilization on a
+single core.
+
+But not everyone has such powerful systems at their disposal. For example, you might run the Agent on a cloud VM with
+only 512 MiB of RAM, or an IoT device like a [Raspberry Pi](/docs/guides/monitor/pi-hole-raspberry-pi.md). In these
+cases, reducing Netdata's footprint beyond its already diminutive size can pay big dividends, giving your services more
+horsepower while still monitoring the health and the performance of the node, OS, hardware, and applications.
+
+## Prerequisites
+
+- A node running the Netdata Agent.
+- Familiarity with configuring the Netdata Agent with `edit-config`.
+
+If you're not familiar with how to configure the Netdata Agent, read our [node configuration
+doc](/docs/configure/nodes.md) before continuing with this guide. This guide assumes familiarity with the Netdata config
+directory, using `edit-config`, and the process of uncommenting/editing various settings in `netdata.conf` and other
+configuration files.
+
+## What affects Netdata's performance?
+
+Netdata's performance is primarily affected by **data collection/retention** and **clients accessing data**.
+
+You can configure almost all aspects of data collection/retention, and certain aspects of clients accessing data. For
+example, you can't control how many users might be viewing a local Agent dashboard, [viewing an
+infrastructure](/docs/visualize/overview-infrastructure.md) in real-time with Netdata Cloud, or running [Metric
+Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations).
+
+The Netdata Agent runs with the lowest possible [process scheduling
+policy](/daemon/README.md#netdata-process-scheduling-policy), which is `nice 19`, and uses the `idle` process scheduler.
+Together, these settings ensure that the Agent only gets CPU resources when the node has CPU resources to space. If the
+node reaches 100% CPU utilization, the Agent is stopped first to ensure your applications get any available resources.
+In addition, under heavy load, collectors that require disk I/O may stop and show gaps in charts.
+
+Let's walk through the best ways to improve the Netdata Agent's performance.
+
+## Reduce collection frequency
+
+The fastest way to improve the Agent's resource utilization is to reduce how often it collects metrics.
+
+### Global
+
+If you don't need per-second metrics, or if the Netdata Agent uses a lot of CPU even when no one is viewing that node's
+dashboard, configure the Agent to collect metrics less often.
+
+Open `netdata.conf` and edit the `update every` setting. The default is `1`, meaning that the Agent collects metrics
+every second.
+
+If you change this to `2`, Netdata enforces a minimum `update every` setting of 2 seconds, and collects metrics every
+other second, which will effectively halve CPU utilization. Set this to `5` or `10` to collect metrics every 5 or 10
+seconds, respectively.
+
+```conf
+[global]
+ update every = 5
+```
+
+### Specific plugin or collector
+
+Every collector and plugin has its own `update every` setting, which you can also change in the `go.d.conf`,
+`python.d.conf`, `node.d.conf`, or `charts.d.conf` files, or in individual collector configuration files. If the `update
+every` for an individual collector is less than the global, the Netdata Agent uses the global setting. See the [enable
+or configure a collector](/docs/collect/enable-configure.md) doc for details.
+
+To reduce the frequency of an [internal
+plugin/collector](/docs/collect/how-collectors-work.md#collector-architecture-and-terminology), open `netdata.conf` and
+find the appropriate section. For example, to reduce the frequency of the `apps` plugin, which collects and visualizes
+metrics on application resource utilization:
+
+```conf
+[plugin:apps]
+ update every = 5
+```
+
+To [configure an individual collector](/docs/collect/enable-configure.md), open its specific configuration file with
+`edit-config` and look for the `update_every` setting. For example, to reduce the frequency of the `nginx` collector,
+run `sudo ./edit-config go.d/nginx.conf`:
+
+```conf
+# [ GLOBAL ]
+update_every: 10
+```
+
+## Disable unneeded plugins or collectors
+
+If you know that you don't need an [entire plugin or a specific
+collector](/docs/collect/how-collectors-work.md#collector-architecture-and-terminology), you can disable any of them.
+Keep in mind that if a plugin/collector has nothing to do, it simply shuts down and does not consume system resources.
+You will only improve the Agent's performance by disabling plugins/collectors that are actively collecting metrics.
+
+Open `netdata.conf` and scroll down to the `[plugins]` section. To disable any plugin, uncomment it and set the value to
+`no`. For example, to explicitly keep the `proc` and `go.d` plugins enabled while disabling `python.d`, `charts.d`, and
+`node.d`.
+
+```conf
+[plugins]
+ proc = yes
+ python.d = no
+ charts.d = no
+ node.d = no
+ go.d = yes
+```
+
+Disable specific collectors by opening their respective plugin configuration files, uncommenting the line for the
+collector, and setting its value to `no`.
+
+```bash
+sudo ./edit-config go.d.conf
+sudo ./edit-config python.d.conf
+sudo ./edit-config node.d.conf
+sudo ./edit-config charts.d.conf
+```
+
+For example, to disable a few Python collectors:
+
+```conf
+modules:
+ apache: no
+ dockerd: no
+ fail2ban: no
+```
+
+## Lower memory usage for metrics retention
+
+Reduce the disk space that the [database engine](/database/engine/README.md) uses to retain metrics by editing
+the `dbengine multihost disk space` option in `netdata.conf`. The default value is `256`, but can be set to a minimum of
+`64`. By reducing the disk space allocation, Netdata also needs to store less metadata in the node's memory.
+
+The `page cache size` option also directly impacts Netdata's memory usage, but has a minimum value of `32`.
+
+Reducing the value of `dbengine multihost disk space` does slim down Netdata's resource usage, but it also reduces how
+long Netdata retains metrics. Find the right balance of performance and metrics retention by using the [dbengine
+calculator](/docs/store/change-metrics-storage.md#calculate-the-system-resources-ram-disk-space-needed-to-store-metrics).
+
+All the settings are found in the `[global]` section of `netdata.conf`:
+
+```conf
+[global]
+ memory mode = dbengine
+ page cache size = 32
+ dbengine multihost disk space = 256
+```
+
+## Run Netdata behind Nginx
+
+A dedicated web server like Nginx provides far more robustness than the Agent's internal [web server](/web/README.md).
+Nginx can handle more concurrent connections, reuse idle connections, and use fast gzip compression to reduce payloads.
+
+For details on installing Nginx as a proxy for the local Agent dashboard, see our [Nginx
+doc](/docs/Running-behind-nginx.md).
+
+After you complete Nginx setup according to the doc linked above, we recommend setting `keepalive` to `1024`, and using
+gzip compression with the following options in the `location /` block:
+
+```conf
+ location / {
+ ...
+ gzip on;
+ gzip_proxied any;
+ gzip_types *;
+ }
+```
+
+Finally, edit `netdata.conf` with the following settings:
+
+```conf
+[global]
+ bind socket to IP = 127.0.0.1
+ access log = none
+ disconnect idle web clients after seconds = 3600
+ enable web responses gzip compression = no
+```
+
+## Disable/lower gzip compression for the dashboard
+
+If you choose not to run the Agent behind Nginx, you can disable or lower the Agent's web server's gzip compression.
+While gzip compression does reduce the size of the HTML/CSS/JS payload, it does use additional CPU while a user is
+looking at the local Agent dashboard.
+
+To disable gzip compression, open `netdata.conf` and find the `[web]` section:
+
+```conf
+[web]
+ enable gzip compression = no
+```
+
+Or to lower the default compression level:
+
+```conf
+[web]
+ enable gzip compression = yes
+ gzip compression level = 1
+```
+
+## Disable logs
+
+If you installation is working correctly, and you're not actively auditing Netdata's logs, disable them in
+`netdata.conf`.
+
+```conf
+[global]
+ debug log = none
+ error log = none
+ access log = none
+```
+
+## What's next?
+
+We hope this guide helped you better understand how to optimize the performance of the Netdata Agent.
+
+Now that your Agent is running smoothly, we recommend you [secure your nodes](/docs/configure/nodes.md) if you haven't
+already.
+
+Next, dive into some of Netdata's more complex features, such as configuring its health watchdog or exporting metrics to
+an external time-series database.
+
+- [Interact with dashboards and charts](/docs/visualize/interact-dashboards-charts.md)
+- [Configure health alarms](/docs/monitor/configure-alarms.md)
+- [Export metrics to external time-series databases](/docs/export/external-databases.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fconfigure%2Fperformance.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/deploy/ansible.md b/docs/guides/deploy/ansible.md
new file mode 100644
index 000000000..8298fd00c
--- /dev/null
+++ b/docs/guides/deploy/ansible.md
@@ -0,0 +1,174 @@
+<!--
+title: Deploy Netdata with Ansible
+description: "Deploy an infrastructure monitoring solution in minutes with the Netdata Agent and Ansible. Use and customize a simple playbook for monitoring as code."
+image: /img/seo/guides/deploy/ansible.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/deploy/ansible.md
+-->
+
+# Deploy Netdata with Ansible
+
+Netdata's [one-line kickstart](https://learn.netdata.cloud/docs/get) is zero-configuration, highly adaptable, and
+compatible with tons of different operating systems and Linux distributions. You can use it on bare metal, VMs,
+containers, and everything in-between.
+
+But what if you're trying to bootstrap an infrastructure monitoring solution as quickly as possible. What if you need to
+deploy Netdata across an entire infrastructure with many nodes? What if you want to make this deployment reliable,
+repeatable, and idempotent? What if you want to write and deploy your infrastructure or cloud monitoring system like
+code?
+
+Enter [Ansible](https://ansible.com), a popular system provisioning, configuration management, and infrastructure as
+code (IaC) tool. Ansible uses **playbooks** to glue many standardized operations together with a simple syntax, then run
+those operations over standard and secure SSH connections. There's no agent to install on the remote system, so all you
+have to worry about is your application and your monitoring software.
+
+Ansible has some competition from the likes of [Puppet](https://puppet.com/) or [Chef](https://www.chef.io/), but the
+most valuable feature about Ansible is that every is **idempotent**. From the [Ansible
+glossary](https://docs.ansible.com/ansible/latest/reference_appendices/glossary.html)
+
+> An operation is idempotent if the result of performing it once is exactly the same as the result of performing it
+> repeatedly without any intervening actions.
+
+Idempotency means you can run an Ansible playbook against your nodes any number of times without affecting how they
+operate. When you deploy Netdata with Ansible, you're also deploying _monitoring as code_.
+
+In this guide, we'll walk through the process of using an [Ansible
+playbook](https://github.com/netdata/community/tree/main/netdata-agent-deployment/ansible-quickstart) to automatically
+deploy the Netdata Agent to any number of distributed nodes, manage the configuration of each node, and claim them to
+your Netdata Cloud account. You'll go from some unmonitored nodes to a infrastructure monitoring solution in a matter of
+minutes.
+
+## Prerequisites
+
+- A Netdata Cloud account. [Sign in and create one](https://app.netdata.cloud) if you don't have one already.
+- An administration system with [Ansible](https://www.ansible.com/) installed.
+- One or more nodes that your administration system can access via [SSH public
+ keys](https://git-scm.com/book/en/v2/Git-on-the-Server-Generating-Your-SSH-Public-Key) (preferably password-less).
+
+## Download and configure the playbook
+
+First, download the
+[playbook](https://github.com/netdata/community/tree/main/netdata-agent-deployment/ansible-quickstart), move it to the
+current directory, and remove the rest of the cloned repository, as it's not required for using the Ansible playbook.
+
+```bash
+git clone https://github.com/netdata/community.git
+mv community/netdata-agent-deployment/ansible-quickstart .
+rm -rf community
+```
+
+Next, `cd` into the Ansible directory.
+
+```bash
+cd ansible-quickstart
+```
+
+### Edit the `hosts` file
+
+The `hosts` file contains a list of IP addresses or hostnames that Ansible will try to run the playbook against. The
+`hosts` file that comes with the repository contains two example IP addresses, which you should replace according to the
+IP address/hostname of your nodes.
+
+```conf
+203.0.113.0 hostname=node-01
+203.0.113.1 hostname=node-02
+```
+
+You can also set the `hostname` variable, which appears both on the local Agent dashboard and Netdata Cloud, or you can
+omit the `hostname=` string entirely to use the system's default hostname.
+
+#### Set the login user (optional)
+
+If you SSH into your nodes as a user other than `root`, you need to configure `hosts` according to those user names. Use
+the `ansible_user` variable to set the login user. For example:
+
+```conf
+203.0.113.0 hostname=ansible-01 ansible_user=example
+```
+
+#### Set your SSH key (optional)
+
+If you use an SSH key other than `~/.ssh/id_rsa` for logging into your nodes, you can set that on a per-node basis in
+the `hosts` file with the `ansible_ssh_private_key_file` variable. For example, to log into a Lightsail instance using
+two different SSH keys supplied by AWS.
+
+```conf
+203.0.113.0 hostname=ansible-01 ansible_ssh_private_key_file=~/.ssh/LightsailDefaultKey-us-west-2.pem
+203.0.113.1 hostname=ansible-02 ansible_ssh_private_key_file=~/.ssh/LightsailDefaultKey-us-east-1.pem
+```
+
+### Edit the `vars/main.yml` file
+
+In order to claim your node(s) to your Space in Netdata Cloud, and see all their metrics in real-time in [composite
+charts](/docs/visualize/overview-infrastructure.md) or perform [Metric
+Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations), you need to set the `claim_token`
+and `claim_room` variables.
+
+To find your `claim_token` and `claim_room`, go to Netdata Cloud, then click on your Space's name in the top navigation,
+then click on **Manage your Space**. Click on the **Nodes** tab in the panel that appears, which displays a script with
+`token` and `room` strings.
+
+![Animated GIF of finding the claiming script and the token and room
+strings](https://user-images.githubusercontent.com/1153921/98740235-f4c3ac00-2367-11eb-8ffd-e9ab0f04c463.gif)
+
+Copy those strings into the `claim_token` and `claim_rooms` variables.
+
+```yml
+claim_token: XXXXX
+claim_rooms: XXXXX
+```
+
+Change the `dbengine_multihost_disk_space` if you want to change the metrics retention policy by allocating more or less
+disk space for storing metrics. The default is 2048 Mib, or 2 GiB.
+
+Because we're claiming this node to Netdata Cloud, and will view its dashboards there instead of via the IP address or
+hostname of the node, the playbook disables that local dashboard by setting `web_mode` to `none`. This gives a small
+security boost by not allowing any unwanted access to the local dashboard.
+
+You can read more about this decision, or other ways you might lock down the local dashboard, in our [node security
+doc](https://learn.netdata.cloud/docs/configure/secure-nodes).
+
+> Curious about why Netdata's dashboard is open by default? Read our [blog
+> post](https://www.netdata.cloud/blog/netdata-agent-dashboard/) on that zero-configuration design decision.
+
+## Run the playbook
+
+Time to run the playbook from your administration system:
+
+```bash
+ansible-playbook -i hosts tasks/main.yml
+```
+
+Ansible first connects to your node(s) via SSH, then [collects
+facts](https://docs.ansible.com/ansible/latest/user_guide/playbooks_vars_facts.html#ansible-facts) about the system.
+This playbook doesn't use these facts, but you could expand it to provision specific types of systems based on the
+makeup of your infrastructure.
+
+Next, Ansible makes changes to each node according to the `tasks` defined in the playbook, and
+[returns](https://docs.ansible.com/ansible/latest/reference_appendices/common_return_values.html#changed) whether each
+task results in a changed, failure, or was skipped entirely.
+
+The task to install Netdata will take a few minutes per node, so be patient! Once the playbook reaches the claiming
+task, your nodes start populating your Space in Netdata Cloud.
+
+## What's next?
+
+Go use Netdata!
+
+If you need a bit more guidance for how you can use Netdata for health monitoring and performance troubleshooting, see
+our [documentation](https://learn.netdata.cloud/docs). It's designed like a comprehensive guide, based on what you might
+want to do with Netdata, so use those categories to dive in.
+
+Some of the best places to start:
+
+- [Enable or configure a collector](/docs/collect/enable-configure.md)
+- [Supported collectors list](/collectors/COLLECTORS.md)
+- [See an overview of your infrastructure](/docs/visualize/overview-infrastructure.md)
+- [Interact with dashboards and charts](/docs/visualize/interact-dashboards-charts.md)
+- [Change how long Netdata stores metrics](/docs/store/change-metrics-storage.md)
+
+We're looking for more deployment and configuration management strategies, whether via Ansible or other
+provisioning/infrastructure as code software, such as Chef or Puppet, in our [community
+repo](https://github.com/netdata/community). Anyone is able to fork the repo and submit a PR, either to improve this
+playbook, extend it, or create an entirely new experience for deploying Netdata across entire infrastructure.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fdeploy%2Fansible.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/export/export-netdata-metrics-graphite.md b/docs/guides/export/export-netdata-metrics-graphite.md
new file mode 100644
index 000000000..9a4a4f5ca
--- /dev/null
+++ b/docs/guides/export/export-netdata-metrics-graphite.md
@@ -0,0 +1,184 @@
+<!--
+title: Export and visualize Netdata metrics in Graphite
+description: "Use Netdata to collect and export thousands of metrics to Graphite for long-term storage or further analysis."
+image: /img/seo/guides/export/export-netdata-metrics-graphite.png
+-->
+
+# Export and visualize Netdata metrics in Graphite
+
+Collecting metrics is an essential part of monitoring any application, service, or infrastructure, but it's not the
+final step for any developer, sysadmin, SRE, or DevOps engineer who's keeping an eye on things. To take meaningful
+action on these metrics, you may need to develop a stack of monitoring tools that work in parallel to help you diagnose
+anomalies and discover root causes faster.
+
+We designed Netdata with interoperability in mind. The Agent collects thousands of metrics every second, and then what
+you do with them is up to you. You can [store metrics in the database engine](/docs/guides/longer-metrics-storage.md),
+or send them to another time series database for long-term storage or further analysis using Netdata's [exporting
+engine](/docs/export/external-databases.md).
+
+In this guide, we'll show you how to export Netdata metrics to [Graphite](https://graphiteapp.org/) for long-term
+storage and further analysis. Graphite is a free open-source software (FOSS) tool that collects graphs numeric
+time-series data, such as all the metrics collected by the Netdata Agent itself. Using Netdata and Graphite together,
+you get more visibility into the health and performance of your entire infrastructure.
+
+![A custom dashboard in Grafana with Netdata
+metrics](https://user-images.githubusercontent.com/1153921/83903855-b8828480-a713-11ea-8edb-927ba521599b.png)
+
+Let's get started.
+
+## Install the Netdata Agent
+
+If you don't have the Netdata Agent installed already, visit the [installation guide](/packaging/installer/README.md)
+for the recommended instructions for your system. In most cases, you can use the one-line installation script:
+
+```bash
+bash <(curl -Ss https://my-netdata.io/kickstart.sh)
+```
+
+Once installation finishes, open your browser and navigate to `http://NODE:19999`, replacing `NODE` with the IP address
+or hostname of your system, to find the Agent dashboard.
+
+## Install Graphite via Docker
+
+For this guide, we'll install Graphite using Docker. See the [Docker documentation](https://docs.docker.com/get-docker/)
+for details if you don't yet have it installed on your system.
+
+> If you already have Graphite installed, skip this step. If you want to install via a different method, see the
+> [Graphite installation docs](https://graphite.readthedocs.io/en/latest/install.html), with the caveat that some
+> configuration settings may be different.
+
+Start up the Graphite image with `docker run`.
+
+```bash
+docker run -d \
+ --name graphite \
+ --restart=always \
+ -p 80:80 \
+ -p 2003-2004:2003-2004 \
+ -p 2023-2024:2023-2024 \
+ -p 8125:8125/udp \
+ -p 8126:8126 \
+ graphiteapp/graphite-statsd
+```
+
+Open your browser and navigate to `http://NODE`, to see the Graphite interface. Nothing yet, but we'll fix that soon
+enough.
+
+![An empty Graphite
+dashboard](https://user-images.githubusercontent.com/1153921/83798958-ea371500-a659-11ea-8403-d46f77a05b78.png)
+
+## Enable the Graphite exporting connector
+
+You're now ready to begin exporting Netdata metrics to Graphite.
+
+Begin by using `edit-config` to open the `exporting.conf` file.
+
+```bash
+cd /etc/netdata # Replace this path with your Netdata config directory
+sudo ./edit-config exporting.conf
+```
+
+If you haven't already, enable the exporting engine by setting `enabled` to `yes` in the `[exporting:global]` section.
+
+```conf
+[exporting:global]
+ enabled = yes
+```
+
+Next, configure the connector. Find the `[graphite:my_graphite_instance]` example section and uncomment the line.
+Replace `my_graphite_instance` with a name of your choice. Let's go with `[graphite:netdata]`. Set `enabled` to `yes`
+and uncomment the line. Your configuration should now look like this:
+
+```conf
+[graphite:netdata]
+ enabled = yes
+ # destination = localhost
+ # data source = average
+ # prefix = netdata
+ # hostname = my_hostname
+ # update every = 10
+ # buffer on failures = 10
+ # timeout ms = 20000
+ # send names instead of ids = yes
+ # send charts matching = *
+ # send hosts matching = localhost *
+```
+
+Set the `destination` setting to `localhost:2003`. By default, the Docker image for Graphite listens on port `2003` for
+incoming metrics. If you installed Graphite a different way, or tweaked the `docker run` command, you may need to change
+the port accordingly.
+
+```conf
+[graphite:netdata]
+ enabled = yes
+ destination = localhost:2003
+ ...
+```
+
+We'll not worry about the rest of the settings for now. Restart the Agent using `sudo service netdata restart`, or the
+appropriate method for your system, to spin up the exporting engine.
+
+## See and organize Netdata metrics in Graphite
+
+Head back to the Graphite interface again, then click on the **Dashboard** link to get started with Netdata's exported
+metrics. You can also navigate directly to `http://NODE/dashboard`.
+
+Let's switch the interface to help you understand which metrics Netdata is exporting to Graphite. Click on **Dashboard**
+and **Configure UI**, then choose the **Tree** option. Refresh your browser to change the UI.
+
+![Change the Graphite
+UI](https://user-images.githubusercontent.com/1153921/83798697-77c63500-a659-11ea-8ed5-5e274953c871.png)
+
+You should now see a tree of available contexts, including one that matches the hostname of the Agent exporting metrics.
+In this example, the Agent's hostname is `arcturus`.
+
+Let's add some system CPU charts so you can monitor the long-term health of your system. Click through the tree to find
+**hostname → system → cpu** metrics, then click on the **user** context. A chart with metrics from that context appears
+in the dashboard. Add a few other system CPU charts to flesh things out.
+
+Next, let's combine one or two of these charts. Click and drag one chart onto the other, and wait until the green **Drop
+to merge** dialog appears. Release to merge the charts.
+
+![Merging charts in
+Graphite](https://user-images.githubusercontent.com/1153921/83817628-1bbfd880-a67a-11ea-81bc-05efc639b6ce.png)
+
+Finally, save your dashboard. Click **Dashboard**, then **Save As**, then choose a name. Your dashboard is now saved.
+
+Of course, this is just the beginning of the customization you can do with Graphite. You can change the time range,
+share your dashboard with others, or use the composer to customize the size and appearance of specific charts. Learn
+more about adding, modifying, and combining graphs in the [Graphite
+docs](https://graphite.readthedocs.io/en/latest/dashboard.html).
+
+## Monitor the exporting engine
+
+As soon as the exporting engine begins, Netdata begins reporting metrics about the system's health and performance.
+
+![Graphs for monitoring the exporting
+engine](https://user-images.githubusercontent.com/1153921/83800787-e5c02b80-a65c-11ea-865a-c447d2ce4cbb.png)
+
+You can use these charts to verify that Netdata is properly exporting metrics to Graphite. You can even add these
+exporting charts to your Graphite dashboard!
+
+### Add exporting charts to Netdata Cloud
+
+You can also show these exporting engine metrics on Netdata Cloud. If you don't have an account already, go [sign
+in](https://app.netdata.cloud) and get started for free. If you need some help along the way, read the [get started with
+Cloud guide](https://learn.netdata.cloud/docs/cloud/get-started).
+
+Add more metrics to a War Room's Nodes view by clicking on the **Add metric** button, then typing `exporting` into the
+context field. Choose the exporting contexts you want to add, then click **Add**. You'll see these charts alongside any
+others you've customized in Netdata Cloud.
+
+![Exporting engine metrics in Netdata
+Cloud](https://user-images.githubusercontent.com/1153921/83902769-db139e00-a711-11ea-828e-aa7e32b04c75.png)
+
+## What's next?
+
+What you do with your exported metrics is entirely up to you, but as you might have seen in the Graphite connector
+configuration block, there are many other ways to tweak and customize which metrics you export to Graphite and how
+often.
+
+For full details about each configuration option and what it does, see the [exporting reference
+guide](/exporting/README.md).
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fexport%2Fexport-netdata-metrics-graphite.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/longer-metrics-storage.md b/docs/guides/longer-metrics-storage.md
new file mode 100644
index 000000000..85b397f6d
--- /dev/null
+++ b/docs/guides/longer-metrics-storage.md
@@ -0,0 +1,160 @@
+<!--
+title: "Change how long Netdata stores metrics"
+description: "With a single configuration change, the Netdata Agent can store days, weeks, or months of metrics at its famous per-second granularity."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/longer-metrics-storage.md
+-->
+
+# Change how long Netdata stores metrics
+
+Netdata helps you collect thousands of system and application metrics every second, but what about storing them for the
+long term?
+
+Many people think Netdata can only store about an hour's worth of real-time metrics, but that's simply not true any
+more. With the right settings, Netdata is quite capable of efficiently storing hours or days worth of historical,
+per-second metrics without having to rely on an [exporting engine](/docs/export/external-databases.md).
+
+This guide gives two options for configuring Netdata to store more metrics. **We recommend the default [database
+engine](#using-the-database-engine)**, but you can stick with or switch to the round-robin database if you prefer.
+
+Let's get started.
+
+## Using the database engine
+
+The database engine uses RAM to store recent metrics while also using a "spill to disk" feature that takes advantage of
+available disk space for long-term metrics storage. This feature of the database engine allows you to store a much
+larger dataset than your system's available RAM.
+
+The database engine is currently the default method of storing metrics, but if you're not sure which database you're
+using, check out your `netdata.conf` file and look for the `memory mode` setting:
+
+```conf
+[global]
+ memory mode = dbengine
+```
+
+If `memory mode` is set to anything but `dbengine`, change it and restart Netdata using the standard command for
+restarting services on your system. You're now using the database engine!
+
+What makes the database engine efficient? While it's structured like a traditional database, the database engine splits
+data between RAM and disk. The database engine caches and indexes data on RAM to keep memory usage low, and then
+compresses older metrics onto disk for long-term storage.
+
+When the Netdata dashboard queries for historical metrics, the database engine will use its cache, stored in RAM, to
+return relevant metrics for visualization in charts.
+
+Now, given that the database engine uses _both_ RAM and disk, there are two other settings to consider: `page cache
+size` and `dbengine multihost disk space`.
+
+```conf
+[global]
+ page cache size = 32
+ dbengine multihost disk space = 256
+```
+
+`page cache size` sets the maximum amount of RAM (in MiB) the database engine will use for caching and indexing.
+`dbengine multihost disk space` sets the maximum disk space (again, in MiB) the database engine will use for storing
+compressed metrics. The default settings retain about two day's worth of metrics on a system collecting 2,000 metrics
+every second.
+
+[**See our database engine
+calculator**](/docs/store/change-metrics-storage.md#calculate-the-system-resources-RAM-disk-space-needed-to-store-metrics)
+to help you correctly set `dbengine multihost disk space` based on your needs. The calculator gives an accurate estimate
+based on how many child nodes you have, how many metrics your Agent collects, and more.
+
+With the database engine active, you can back up your `/var/cache/netdata/dbengine/` folder to another location for
+redundancy.
+
+Now that you know how to switch to the database engine, let's cover the default round-robin database for those who
+aren't ready to make the move.
+
+## Using the round-robin database
+
+In previous versions, Netdata used a round-robin database to store 1 hour of per-second metrics.
+
+To see if you're still using this database, or if you would like to switch to it, open your `netdata.conf` file and see
+if `memory mode` option is set to `save`.
+
+```conf
+[global]
+ memory mode = save
+```
+
+If `memory mode` is set to `save`, then you're using the round-robin database. If so, the `history` option is set to
+`3600`, which is the equivalent to 3,600 seconds, or one hour.
+
+To increase your historical metrics, you can increase `history` to the number of seconds you'd like to store:
+
+```conf
+[global]
+ # 2 hours = 2 * 60 * 60 = 7200 seconds
+ history = 7200
+ # 4 hours = 4 * 60 * 60 = 14440 seconds
+ history = 14440
+ # 24 hours = 24 * 60 * 60 = 86400 seconds
+ history = 86400
+```
+
+And so on.
+
+Next, check to see how many metrics Netdata collects on your system, and how much RAM that uses. Visit the Netdata
+dashboard and look at the bottom-right corner of the interface. You'll find a sentence similar to the following:
+
+> Every second, Netdata collects 1,938 metrics, presents them in 299 charts and monitors them with 81 alarms. Netdata is
+> using 25 MB of memory on **netdata-linux** for 1 hour, 6 minutes and 36 seconds of real-time history.
+
+On this desktop system, using a Ryzen 5 1600 and 16GB of RAM, the round-robin databases uses 25 MB of RAM to store just
+over an hour's worth of data for nearly 2,000 metrics.
+
+To increase the `history` option, you need to edit your `netdata.conf` file and increase the `history` setting. In most
+installations, you'll find it at `/etc/netdata/netdata.conf`, but some operating systems place it at
+`/opt/netdata/etc/netdata/netdata.conf`.
+
+Use `/etc/netdata/edit-config netdata.conf`, or your favorite text editor, to replace `3600` with the number of seconds
+you'd like to store.
+
+You should base this number on two things: How much history you need for your use case, and how much RAM you're willing
+to dedicate to Netdata.
+
+> Take care when you change the `history` option on production systems. Netdata is configured to stop its process if
+> your system starts running out of RAM, but you can never be too careful. Out of memory situations are very bad.
+
+How much RAM will a longer history use? Let's use a little math.
+
+The round-robin database needs 4 bytes for every value Netdata collects. If Netdata collects metrics every second,
+that's 4 bytes, per second, per metric.
+
+```text
+4 bytes * X seconds * Y metrics = RAM usage in bytes
+```
+
+Let's assume your system collects 1,000 metrics per second.
+
+```text
+4 bytes * 3600 seconds * 1,000 metrics = 14400000 bytes = 14.4 MB RAM
+```
+
+With that formula, you can calculate the RAM usage for much larger history settings.
+
+```conf
+# 2 hours at 1,000 metrics per second
+4 bytes * 7200 seconds * 1,000 metrics = 28800000 bytes = 28.8 MB RAM
+# 2 hours at 2,000 metrics per second
+4 bytes * 7200 seconds * 2,000 metrics = 57600000 bytes = 57.6 MB RAM
+# 4 hours at 2,000 metrics per second
+4 bytes * 14440 seconds * 2,000 metrics = 115520000 bytes = 115.52 MB RAM
+# 24 hours at 1,000 metrics per second
+4 bytes * 86400 seconds * 1,000 metrics = 345600000 bytes = 345.6 MB RAM
+```
+
+## What's next?
+
+Now that you have either configured database engine or round-robin database engine to store more metrics, you'll
+probably want to see it in action!
+
+For more information about how to pan charts to view historical metrics, see our documentation on [using
+charts](/web/README.md#using-charts).
+
+And if you'd now like to reduce Netdata's resource usage, view our [performance
+guide](/docs/guides/configure/performance.md) for our best practices on optimization.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Flonger-metrics-storage&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor-cockroachdb.md b/docs/guides/monitor-cockroachdb.md
new file mode 100644
index 000000000..fd0e7db64
--- /dev/null
+++ b/docs/guides/monitor-cockroachdb.md
@@ -0,0 +1,136 @@
+<!--
+title: "Monitor CockroachDB metrics with Netdata"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor-cockroachdb.md
+-->
+
+# Monitor CockroachDB metrics with Netdata
+
+[CockroachDB](https://github.com/cockroachdb/cockroach) is an open-source project that brings SQL databases into
+scalable, disaster-resilient cloud deployments. Thanks to a [new CockroachDB
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/cockroachdb/) released in
+[v1.20](https://blog.netdata.cloud/posts/release-1.20/), you can now monitor any number of CockroachDB databases with
+maximum granularity using Netdata. Collect more than 50 unique metrics and put them on interactive visualizations
+designed for better visual anomaly detection.
+
+Netdata itself uses CockroachDB as part of its Netdata Cloud infrastructure, so we're happy to introduce this new
+collector and help others get started with it straightaway.
+
+Let's dive in and walk through the process of monitoring CockroachDB metrics with Netdata.
+
+## What's in this guide
+
+- [Configure the CockroachDB collector](#configure-the-cockroachdb-collector)
+ - [Manual setup for a local CockroachDB database](#manual-setup-for-a-local-cockroachdb-database)
+- [Tweak CockroachDB alarms](#tweak-cockroachdb-alarms)
+
+## Configure the CockroachDB collector
+
+Because _all_ of Netdata's collectors can auto-detect the services they monitor, you _shouldn't_ need to worry about
+configuring CockroachDB. Netdata only needs to regularly query the database's `_status/vars` page to gather metrics and
+display them on the dashboard.
+
+If your CockroachDB instance is accessible through `http://localhost:8080/` or `http://127.0.0.1:8080`, your setup is
+complete. Restart Netdata with `service netdata restart`, or use the [appropriate
+method](../getting-started.md#start-stop-and-restart-netdata) for your system, and refresh your browser. You should see
+CockroachDB metrics in your Netdata dashboard!
+
+<figure>
+ <img src="https://user-images.githubusercontent.com/1153921/73564467-d7e36b00-441c-11ea-9ec9-b5d5ea7277d4.png" alt="CPU utilization charts from a CockroachDB database monitored by Netdata" />
+ <figcaption>CPU utilization charts from a CockroachDB database monitored by Netdata</figcaption>
+</figure>
+
+> Note: Netdata collects metrics from CockroachDB every 10 seconds, instead of our usual 1 second, because CockroachDB
+> only updates `_status/vars` every 10 seconds. You can't change this setting in CockroachDB.
+
+If you don't see CockroachDB charts, you may need to configure the collector manually.
+
+### Manual setup for a local CockroachDB database
+
+To configure Netdata's CockroachDB collector, navigate to your Netdata configuration directory (typically at
+`/etc/netdata/`) and use `edit-config` to initialize and edit your CockroachDB configuration file.
+
+```bash
+cd /etc/netdata/ # Replace with your Netdata configuration directory, if not /etc/netdata/
+./edit-config go.d/cockroachdb.conf
+```
+
+Scroll down to the `[JOBS]` section at the bottom of the file. You will see the two default jobs there, which you can
+edit, or create a new job with any of the parameters listed above in the file. Both the `name` and `url` values are
+required, and everything else is optional.
+
+For a production cluster, you'll use either an IP address or the system's hostname. Be sure that your remote system
+allows TCP communication on port 8080, or whichever port you have configured CockroachDB's [Admin
+UI](https://www.cockroachlabs.com/docs/stable/monitoring-and-alerting.html#prometheus-endpoint) to listen on.
+
+```yaml
+# [ JOBS ]
+jobs:
+ - name: remote
+ url: http://203.0.113.0:8080/_status/vars
+
+ - name: remote_hostname
+ url: http://cockroachdb.example.com:8080/_status/vars
+```
+
+For a secure cluster, use `https` in the `url` field instead.
+
+```yaml
+# [ JOBS ]
+jobs:
+ - name: remote
+ url: https://203.0.113.0:8080/_status/vars
+ tls_skip_verify: yes # If your certificate is self-signed
+
+ - name: remote_hostname
+ url: https://cockroachdb.example.com:8080/_status/vars
+ tls_skip_verify: yes # If your certificate is self-signed
+```
+
+You can add as many jobs as you'd like based on how many CockroachDB databases you have—Netdata will create separate
+charts for each job. Once you've edited `cockroachdb.conf` according to the needs of your infrastructure, restart
+Netdata to see your new charts.
+
+<figure>
+ <img src="https://user-images.githubusercontent.com/1153921/73564469-d7e36b00-441c-11ea-8333-02ba0e1c294c.png" alt="Charts showing a node failure during a simulated test" />
+ <figcaption>Charts showing a node failure during a simulated test</figcaption>
+</figure>
+
+## Tweak CockroachDB alarms
+
+This release also includes eight pre-configured alarms for live nodes, such as whether the node is live, storage
+capacity, issues with replication, and the number of SQL connections/statements. See [health.d/cockroachdb.conf on
+GitHub](https://raw.githubusercontent.com/netdata/netdata/master/health/health.d/cockroachdb.conf) for details.
+
+You can also edit these files directly with `edit-config`:
+
+```bash
+cd /etc/netdata/ # Replace with your Netdata configuration directory, if not /etc/netdata/
+./edit-config health.d/cockroachdb.conf # You may need to use `sudo` for write privileges
+```
+
+For more information about editing the defaults or writing new alarm entities, see our health monitoring [quickstart
+guide](/health/QUICKSTART.md).
+
+## What's next?
+
+Now that you're collecting metrics from your CockroachDB databases, let us know how it's working for you! There's always
+room for improvement or refinement based on real-world use cases. Feel free to [file an
+issue](https://github.com/netdata/netdata/issues/new?labels=bug%2C+needs+triage&template=bug_report.md) with your
+thoughts.
+
+Also, be sure to check out these useful resources:
+
+- [Netdata's CockroachDB
+ documentation](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/cockroachdb/)
+- [Netdata's CockroachDB
+ configuration](https://github.com/netdata/go.d.plugin/blob/master/config/go.d/cockroachdb.conf)
+- [Netdata's CockroachDB
+ alarms](https://github.com/netdata/netdata/blob/29d9b5e51603792ee27ef5a21f1de0ba8e130158/health/health.d/cockroachdb.conf)
+- [CockroachDB homepage](https://www.cockroachlabs.com/product/)
+- [CockroachDB documentation](https://www.cockroachlabs.com/docs/stable/)
+- [`_status/vars` endpoint
+ docs](https://www.cockroachlabs.com/docs/stable/monitoring-and-alerting.html#prometheus-endpoint)
+- [Monitor CockroachDB with
+ Prometheus](https://www.cockroachlabs.com/docs/stable/monitor-cockroachdb-with-prometheus.html)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor-cockroachdb&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor-hadoop-cluster.md b/docs/guides/monitor-hadoop-cluster.md
new file mode 100644
index 000000000..1ca2c03e1
--- /dev/null
+++ b/docs/guides/monitor-hadoop-cluster.md
@@ -0,0 +1,204 @@
+<!--
+title: "Monitor a Hadoop cluster with Netdata"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor-hadoop-cluster.md
+-->
+
+# Monitor a Hadoop cluster with Netdata
+
+Hadoop is an [Apache project](https://hadoop.apache.org/) is a framework for processing large sets of data across a
+distributed cluster of systems.
+
+And while Hadoop is designed to be a highly-available and fault-tolerant service, those who operate a Hadoop cluster
+will want to monitor the health and performance of their [Hadoop Distributed File System
+(HDFS)](https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html) and [Zookeeper](https://zookeeper.apache.org/)
+implementations.
+
+Netdata comes with built-in and pre-configured support for monitoring both HDFS and Zookeeper.
+
+This guide assumes you have a Hadoop cluster, with HDFS and Zookeeper, running already. If you don't, please follow
+the [official Hadoop
+instructions](http://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/SingleCluster.html) or an
+alternative, like the guide available from
+[DigitalOcean](https://www.digitalocean.com/community/tutorials/how-to-install-hadoop-in-stand-alone-mode-on-ubuntu-18-04).
+
+For more specifics on the collection modules used in this guide, read the respective pages in our documentation:
+
+- [HDFS](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/hdfs)
+- [Zookeeper](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/zookeeper)
+
+## Set up your HDFS and Zookeeper installations
+
+As with all data sources, Netdata can auto-detect HDFS and Zookeeper nodes if you installed them using the standard
+installation procedure.
+
+For Netdata to collect HDFS metrics, it needs to be able to access the node's `/jmx` endpoint. You can test whether an
+JMX endpoint is accessible by using `curl HDFS-IP:PORT/jmx`. For a NameNode, you should see output similar to the
+following:
+
+```json
+{
+ "beans" : [ {
+ "name" : "Hadoop:service=NameNode,name=JvmMetrics",
+ "modelerType" : "JvmMetrics",
+ "MemNonHeapUsedM" : 65.67851,
+ "MemNonHeapCommittedM" : 67.3125,
+ "MemNonHeapMaxM" : -1.0,
+ "MemHeapUsedM" : 154.46341,
+ "MemHeapCommittedM" : 215.0,
+ "MemHeapMaxM" : 843.0,
+ "MemMaxM" : 843.0,
+ "GcCount" : 15,
+ "GcTimeMillis" : 305,
+ "GcNumWarnThresholdExceeded" : 0,
+ "GcNumInfoThresholdExceeded" : 0,
+ "GcTotalExtraSleepTime" : 92,
+ "ThreadsNew" : 0,
+ "ThreadsRunnable" : 6,
+ "ThreadsBlocked" : 0,
+ "ThreadsWaiting" : 7,
+ "ThreadsTimedWaiting" : 34,
+ "ThreadsTerminated" : 0,
+ "LogFatal" : 0,
+ "LogError" : 0,
+ "LogWarn" : 2,
+ "LogInfo" : 348
+ },
+ { ... }
+ ]
+}
+```
+
+The JSON result for a DataNode's `/jmx` endpoint is slightly different:
+
+```json
+{
+ "beans" : [ {
+ "name" : "Hadoop:service=DataNode,name=DataNodeActivity-dev-slave-01.dev.loc
+al-9866",
+ "modelerType" : "DataNodeActivity-dev-slave-01.dev.local-9866",
+ "tag.SessionId" : null,
+ "tag.Context" : "dfs",
+ "tag.Hostname" : "dev-slave-01.dev.local",
+ "BytesWritten" : 500960407,
+ "TotalWriteTime" : 463,
+ "BytesRead" : 80689178,
+ "TotalReadTime" : 41203,
+ "BlocksWritten" : 16,
+ "BlocksRead" : 16,
+ "BlocksReplicated" : 4,
+ ...
+ },
+ { ... }
+ ]
+}
+```
+
+If Netdata can't access the `/jmx` endpoint for either a NameNode or DataNode, it will not be able to auto-detect and
+collect metrics from your HDFS implementation.
+
+Zookeeper auto-detection relies on an accessible client port and a allow-listed `mntr` command. For more details on
+`mntr`, see Zookeeper's documentation on [cluster
+options](https://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_clusterOptions) and [Zookeeper
+commands](https://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_zkCommands).
+
+## Configure the HDFS and Zookeeper modules
+
+To configure Netdata's HDFS module, navigate to your Netdata directory (typically at `/etc/netdata/`) and use
+`edit-config` to initialize and edit your HDFS configuration file.
+
+```bash
+cd /etc/netdata/
+sudo ./edit-config go.d/hdfs.conf
+```
+
+At the bottom of the file, you will see two example jobs, both of which are commented out:
+
+```yaml
+# [ JOBS ]
+#jobs:
+# - name: namenode
+# url: http://127.0.0.1:9870/jmx
+#
+# - name: datanode
+# url: http://127.0.0.1:9864/jmx
+```
+
+Uncomment these lines and edit the `url` value(s) according to your setup. Now's the time to add any other configuration
+details, which you can find inside of the `hdfs.conf` file itself. Most production implementations will require TLS
+certificates.
+
+The result for a simple HDFS setup, running entirely on `localhost` and without certificate authentication, might look
+like this:
+
+```yaml
+# [ JOBS ]
+jobs:
+ - name: namenode
+ url: http://127.0.0.1:9870/jmx
+
+ - name: datanode
+ url: http://127.0.0.1:9864/jmx
+```
+
+At this point, Netdata should be configured to collect metrics from your HDFS servers. Let's move on to Zookeeper.
+
+Next, use `edit-config` again to initialize/edit your `zookeeper.conf` file.
+
+```bash
+cd /etc/netdata/
+sudo ./edit-config go.d/zookeeper.conf
+```
+
+As with the `hdfs.conf` file, head to the bottom, uncomment the example jobs, and tweak the `address` values according
+to your setup. Again, you may need to add additional configuration options, like TLS certificates.
+
+```yaml
+jobs:
+ - name : local
+ address : 127.0.0.1:2181
+
+ - name : remote
+ address : 203.0.113.10:2182
+```
+
+Finally, restart Netdata.
+
+```sh
+sudo service restart netdata
+```
+
+Upon restart, Netdata should recognize your HDFS/Zookeeper servers, enable the HDFS and Zookeeper modules, and begin
+showing real-time metrics for both in your Netdata dashboard. 🎉
+
+## Configuring HDFS and Zookeeper alarms
+
+The Netdata community helped us create sane defaults for alarms related to both HDFS and Zookeeper. You may want to
+investigate these to ensure they work well with your Hadoop implementation.
+
+- [HDFS alarms](https://raw.githubusercontent.com/netdata/netdata/master/health/health.d/hdfs.conf)
+- [Zookeeper alarms](https://raw.githubusercontent.com/netdata/netdata/master/health/health.d/zookeeper.conf)
+
+You can also access/edit these files directly with `edit-config`:
+
+```bash
+sudo /etc/netdata/edit-config health.d/hdfs.conf
+sudo /etc/netdata/edit-config health.d/zookeeper.conf
+```
+
+For more information about editing the defaults or writing new alarm entities, see our [health monitoring
+documentation](/health/README.md).
+
+## What's next?
+
+If you're having issues with Netdata auto-detecting your HDFS/Zookeeper servers, or want to help improve how Netdata
+collects or presents metrics from these services, feel free to [file an
+issue](https://github.com/netdata/netdata/issues/new?labels=bug%2C+needs+triage&template=bug_report.md).
+
+- Read up on the [HDFS configuration
+ file](https://github.com/netdata/go.d.plugin/blob/master/config/go.d/hdfs.conf) to understand how to configure
+ global options or per-job options, such as username/password, TLS certificates, timeouts, and more.
+- Read up on the [Zookeeper configuration
+ file](https://github.com/netdata/go.d.plugin/blob/master/config/go.d/zookeeper.conf) to understand how to configure
+ global options or per-job options, timeouts, TLS certificates, and more.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor-hadoop-cluster&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/anomaly-detection.md b/docs/guides/monitor/anomaly-detection.md
new file mode 100644
index 000000000..bb9dbc829
--- /dev/null
+++ b/docs/guides/monitor/anomaly-detection.md
@@ -0,0 +1,191 @@
+<!--
+title: "Detect anomalies in systems and applications"
+description: "Detect anomalies in any system, container, or application in your infrastructure with machine learning and the open-source Netdata Agent."
+image: /img/seo/guides/monitor/anomaly-detection.png
+author: "Joel Hans"
+author_title: "Editorial Director, Technical & Educational Resources"
+author_img: "/img/authors/joel-hans.jpg"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/anomaly-detection.md
+-->
+
+# Detect anomalies in systems and applications
+
+Beginning with v1.27, the [open-source Netdata Agent](https://github.com/netdata/netdata) is capable of unsupervised
+[anomaly detection](https://en.wikipedia.org/wiki/Anomaly_detection) with machine learning (ML). As with all things
+Netdata, the anomalies collector comes with preconfigured alarms and instant visualizations that require no query
+languages or organizing metrics. You configure the collector to look at specific charts, and it handles the rest.
+
+Netdata's implementation uses a handful of functions in the [Python Outlier Detection (PyOD)
+library](https://github.com/yzhao062/pyod/tree/master), which periodically runs a `train` function that learns what
+"normal" looks like on your node and creates an ML model for each chart, then utilizes the
+[`predict_proba()`](https://pyod.readthedocs.io/en/latest/api_cc.html#pyod.models.base.BaseDetector.predict_proba) and
+[`predict()`](https://pyod.readthedocs.io/en/latest/api_cc.html#pyod.models.base.BaseDetector.predict) PyOD functions to
+quantify how anomalous certain charts are.
+
+All these metrics and alarms are available for centralized monitoring in [Netdata Cloud](https://app.netdata.cloud). If
+you choose to sign up for Netdata Cloud and [claim your nodes](/claim/README.md), you will have the ability to run
+tailored anomaly detection on every node in your infrastructure, regardless of its purpose or workload.
+
+In this guide, you'll learn how to set up the anomalies collector to instantly detect anomalies in an Nginx web server
+and/or the node that hosts it, which will give you the tools to configure parallel unsupervised monitors for any
+application in your infrastructure. Let's get started.
+
+![Example anomaly detection with an Nginx web
+server](https://user-images.githubusercontent.com/1153921/103586700-da5b0a00-4ea2-11eb-944e-46edd3f83e3a.png)
+
+## Prerequisites
+
+- A node running the Netdata Agent. If you don't yet have that, [get Netdata](/docs/get/README.md).
+- A Netdata Cloud account. [Sign up](https://app.netdata.cloud) if you don't have one already.
+- Familiarity with configuring the Netdata Agent with [`edit-config`](/docs/configure/nodes.md).
+- _Optional_: An Nginx web server running on the same node to follow the example configuration steps.
+
+## Install required Python packages
+
+The anomalies collector uses a few Python packages, available with `pip3`, to run ML training. It requires
+[`numba`](http://numba.pydata.org/), [`scikit-learn`](https://scikit-learn.org/stable/),
+[`pyod`](https://pyod.readthedocs.io/en/latest/), in addition to
+[`netdata-pandas`](https://github.com/netdata/netdata-pandas), which is a package built by the Netdata team to pull data
+from a Netdata Agent's API into a [Pandas](https://pandas.pydata.org/). Read more about `netdata-pandas` on its [package
+repo](https://github.com/netdata/netdata-pandas) or in Netdata's [community
+repo](https://github.com/netdata/community/tree/main/netdata-agent-api/netdata-pandas).
+
+```bash
+# Become the netdata user
+sudo su -s /bin/bash netdata
+
+# Install required packages for the netdata user
+pip3 install --user netdata-pandas==0.0.32 numba==0.50.1 scikit-learn==0.23.2 pyod==0.8.3
+```
+
+> If the `pip3` command fails, you need to install it. For example, on an Ubuntu system, use `sudo apt install
+> python3-pip`.
+
+Use `exit` to become your normal user again.
+
+## Enable the anomalies collector
+
+Navigate to your [Netdata config directory](/docs/configure/nodes.md#the-netdata-config-directory) and use `edit-config`
+to open the `python.d.conf` file.
+
+```bash
+sudo ./edit-config python.d.conf
+```
+
+In `python.d.conf` file, search for the `anomalies` line. If the line exists, set the value to `yes`. Add the line
+yourself if it doesn't already exist. Either way, the final result should look like:
+
+```conf
+anomalies: yes
+```
+
+[Restart the Agent](/docs/configure/start-stop-restart.md) with `sudo systemctl restart netdata` to start up the
+anomalies collector. By default, the model training process runs every 30 minutes, and uses the previous 4 hours of
+metrics to establish a baseline for health and performance across the default included charts.
+
+> 💡 The anomaly collector may need 30-60 seconds to finish its initial training and have enough data to start
+> generating anomaly scores. You may need to refresh your browser tab for the **Anomalies** section to appear in menus
+> on both the local Agent dashboard or Netdata Cloud.
+
+## Configure the anomalies collector
+
+Open `python.d/anomalies.conf` with `edit-conf`.
+
+```bash
+sudo ./edit-config python.d/anomalies.conf
+```
+
+The file contains many user-configurable settings with sane defaults. Here are some important settings that don't
+involve tweaking the behavior of the ML training itself.
+
+- `charts_regex`: Which charts to train models for and run anomaly detection on, with each chart getting a separate
+ model.
+- `charts_to_exclude`: Specific charts, selected by the regex in `charts_regex`, to exclude.
+- `train_every_n`: How often to train the ML models.
+- `train_n_secs`: The number of historical observations to train each model on. The default is 4 hours, but if your node
+ doesn't have historical metrics going back that far, consider [changing the metrics retention
+ policy](/docs/store/change-metrics-storage.md) or reducing this window.
+- `custom_models`: A way to define custom models that you want anomaly probabilities for, including multi-node or
+ streaming setups. More on custom models in part 3 of this guide series.
+
+> ⚠️ Setting `charts_regex` with many charts or `train_n_secs` to a very large number will have an impact on the
+> resources and time required to train a model for every chart. The actual performance implications depend on the
+> resources available on your node. If you plan on changing these settings beyond the default, or what's mentioned in
+> this guide, make incremental changes to observe the performance impact. Considering `train_max_n` to cap the number of
+> observations actually used to train on.
+
+### Run anomaly detection on Nginx and log file metrics
+
+As mentioned above, this guide uses an Nginx web server to demonstrate how the anomalies collector works. You must
+configure the collector to monitor charts from the
+[Nginx](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx) and [web
+log](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog) collectors.
+
+`charts_regex` allows for some basic regex, such as wildcards (`*`) to match all contexts with a certain pattern. For
+example, `system\..*` matches with any chart wit ha context that begins with `system.`, and ends in any number of other
+characters (`.*`). Note the escape character (`\`) around the first period to capture a period character exactly, and
+not any character.
+
+Change `charts_regex` in `anomalies.conf` to the following:
+
+```conf
+ charts_regex: 'system\..*|nginx_local\..*|web_log_nginx\..*|apps.cpu|apps.mem'
+```
+
+This value tells the anomaly collector to train against every `system.` chart, every `nginx_local` chart, every
+`web_log_nginx` chart, and specifically the `apps.cpu` and `apps.mem` charts.
+
+![The anomalies collector chart with many
+dimensions](https://user-images.githubusercontent.com/1153921/102813877-db5e4880-4386-11eb-8040-d7a1d7a476bb.png)
+
+### Remove some metrics from anomaly detection
+
+As you can see in the above screenshot, this node is now looking for anomalies in many places. The result is a single
+`anomalies_local.probability` chart with more than twenty dimensions, some of which the dashboard hides at the bottom of
+a scroll-able area. In addition, training and analyzing the anomaly collector on many charts might require more CPU
+utilization that you're willing to give.
+
+First, explicitly declare which `system.` charts to monitor rather than of all of them using regex (`system\..*`).
+
+```conf
+ charts_regex: 'system\.cpu|system\.load|system\.io|system\.net|system\.ram|nginx_local\..*|web_log_nginx\..*|apps.cpu|apps.mem'
+```
+
+Next, remove some charts with the `charts_to_exclude` setting. For this example, using an Nginx web server, focus on the
+volume of requests/responses, not, for example, which type of 4xx response a user might receive.
+
+```conf
+ charts_to_exclude: 'web_log_nginx.excluded_requests,web_log_nginx.responses_by_status_code_class,web_log_nginx.status_code_class_2xx_responses,web_log_nginx.status_code_class_4xx_responses,web_log_nginx.current_poll_uniq_clients,web_log_nginx.requests_by_http_method,web_log_nginx.requests_by_http_version,web_log_nginx.requests_by_ip_proto'
+```
+
+![The anomalies collector with less
+dimensions](https://user-images.githubusercontent.com/1153921/102820642-d69f9180-4392-11eb-91c5-d3d166d40105.png)
+
+Apply the ideas behind the collector's regex and exclude settings to any other
+[system](/docs/collect/system-metrics.md), [container](/docs/collect/container-metrics.md), or
+[application](/docs/collect/application-metrics.md) metrics you want to detect anomalies for.
+
+## What's next?
+
+Now that you know how to set up unsupervised anomaly detection in the Netdata Agent, using an Nginx web server as an
+example, it's time to apply that knowledge to other mission-critical parts of your infrastructure. If you're not sure
+what to monitor next, check out our list of [collectors](/collectors/COLLECTORS.md) to see what kind of metrics Netdata
+can collect from your systems, containers, and applications.
+
+For a more user-friendly anomaly detection experience, try out the [Metric
+Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) feature in Netdata Cloud. Metric
+Correlations runs only at your requests, removing unrelated charts from the dashboard to help you focus on root cause
+analysis.
+
+Stay tuned for the next two parts of this guide, which provide more real-world context for the anomalies collector.
+First, maximize the immediate value you get from anomaly detection by tracking preconfigured alarms, visualizing
+anomalies in charts, and building a new dashboard tailored to your applications. Then, learn about creating custom ML
+models, which help you holistically monitor an application or service by monitoring anomalies across a _cluster of
+charts_.
+
+### Related reference documentation
+
+- [Netdata Agent · Anomalies collector](/collectors/python.d.plugin/anomalies/README.md)
+- [Netdata Cloud · Metric Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fanomaly-detectionl&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/dimension-templates.md b/docs/guides/monitor/dimension-templates.md
new file mode 100644
index 000000000..da1faed8b
--- /dev/null
+++ b/docs/guides/monitor/dimension-templates.md
@@ -0,0 +1,176 @@
+<!--
+title: "Use dimension templates to create dynamic alarms"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/monitor/health/dimension-templates.md
+-->
+
+# Use dimension templates to create dynamic alarms
+
+Your ability to monitor the health of your systems and applications relies on your ability to create and maintain
+the best set of alarms for your particular needs.
+
+In v1.18 of Netdata, we introduced **dimension templates** for alarms, which simplifies the process of writing [alarm
+entities](/health/REFERENCE.md#health-entity-reference) for charts with many dimensions.
+
+Dimension templates can condense many individual entities into one—no more copy-pasting one entity and changing the
+`alarm`/`template` and `lookup` lines for each dimension you'd like to monitor.
+
+They are, however, an advanced health monitoring feature. For more basic instructions on creating your first alarm,
+check out our [health monitoring documentation](/health/README.md), which also includes
+[examples](/health/REFERENCE.md#example-alarms).
+
+## The fundamentals of `foreach`
+
+Our dimension templates update creates a new `foreach` parameter to the existing [`lookup`
+line](/health/REFERENCE.md#alarm-line-lookup). This is where the magic happens.
+
+You use the `foreach` parameter to specify which dimensions you want to monitor with this single alarm. You can separate
+them with a comma (`,`) or a pipe (`|`). You can also use a [Netdata simple pattern](/libnetdata/simple_pattern/README.md)
+to create many alarms with a regex-like syntax.
+
+The `foreach` parameter _has_ to be the last parameter in your `lookup` line, and if you have both `of` and `foreach` in
+the same `lookup` line, Netdata will ignore the `of` parameter and use `foreach` instead.
+
+Let's get into some examples so you can see how the new parameter works.
+
+> ⚠️ The following entities are examples to showcase the functionality and syntax of dimension templates. They are not
+> meant to be run as-is on production systems.
+
+## Condensing entities with `foreach`
+
+Let's say you want to monitor the `system`, `user`, and `nice` dimensions in your system's overall CPU utilization.
+Before dimension templates, you would need the following three entities:
+
+```yaml
+ alarm: cpu_system
+ on: system.cpu
+lookup: average -10m percentage of system
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+
+ alarm: cpu_user
+ on: system.cpu
+lookup: average -10m percentage of user
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+
+ alarm: cpu_nice
+ on: system.cpu
+lookup: average -10m percentage of nice
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+```
+
+With dimension templates, you can condense these into a single alarm. Take note of the `alarm` and `lookup` lines.
+
+```yaml
+ alarm: cpu_template
+ on: system.cpu
+lookup: average -10m percentage foreach system,user,nice
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+```
+
+The `alarm` line specifies the naming scheme Netdata will use. You can use whatever naming scheme you'd like, with `.`
+and `_` being the only allowed symbols.
+
+The `lookup` line has changed from `of` to `foreach`, and we're now passing three dimensions.
+
+In this example, Netdata will create three alarms with the names `cpu_template_system`, `cpu_template_user`, and
+`cpu_template_nice`. Every minute, each alarm will use the same database query to calculate the average CPU usage for
+the `system`, `user`, and `nice` dimensions over the last 10 minutes and send out alarms if necessary.
+
+You can find these three alarms active by clicking on the **Alarms** button in the top navigation, and then clicking on
+the **All** tab and scrolling to the **system - cpu** collapsible section.
+
+![Three new alarms created from the dimension template](https://user-images.githubusercontent.com/1153921/66218994-29523800-e67f-11e9-9bcb-9bca23e2c554.png)
+
+Let's look at some other examples of how `foreach` works so you can best apply it in your configurations.
+
+### Using a Netdata simple pattern in `foreach`
+
+In the last example, we used `foreach system,user,nice` to create three distinct alarms using dimension templates. But
+what if you want to quickly create alarms for _all_ the dimensions of a given chart?
+
+Use a [simple pattern](/libnetdata/simple_pattern/README.md)! One example of a simple pattern is a single wildcard
+(`*`).
+
+Instead of monitoring system CPU usage, let's monitor per-application CPU usage using the `apps.cpu` chart. Passing a
+wildcard as the simple pattern tells Netdata to create a separate alarm for _every_ process on your system:
+
+```yaml
+ alarm: app_cpu
+ on: apps.cpu
+lookup: average -10m percentage foreach *
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+```
+
+This entity will now create alarms for every dimension in the `apps.cpu` chart. Given that most `apps.cpu` charts have
+10 or more dimensions, using the wildcard ensures you catch every CPU-hogging process.
+
+To learn more about how to use simple patterns with dimension templates, see our [simple patterns
+documentation](/libnetdata/simple_pattern/README.md).
+
+## Using `foreach` with alarm templates
+
+Dimension templates also work with [alarm templates](/health/REFERENCE.md#alarm-line-alarm-or-template). Alarm
+templates help you create alarms for all the charts with a given context—for example, all the cores of your system's
+CPU.
+
+By combining the two, you can create dozens of individual alarms with a single template entity. Here's how you would
+create alarms for the `system`, `user`, and `nice` dimensions for every chart in the `cpu.cpu` context—or, in other
+words, every CPU core.
+
+```yaml
+template: cpu_template
+ on: cpu.cpu
+ lookup: average -10m percentage foreach system,user,nice
+ every: 1m
+ warn: $this > 50
+ crit: $this > 80
+```
+
+On a system with a 6-core, 12-thread Ryzen 5 1600 CPU, this one entity creates alarms on the following charts and
+dimensions:
+
+- `cpu.cpu0`
+ - `cpu_template_user`
+ - `cpu_template_system`
+ - `cpu_template_nice`
+- `cpu.cpu1`
+ - `cpu_template_user`
+ - `cpu_template_system`
+ - `cpu_template_nice`
+- `cpu.cpu2`
+ - `cpu_template_user`
+ - `cpu_template_system`
+ - `cpu_template_nice`
+- ...
+- `cpu.cpu11`
+ - `cpu_template_user`
+ - `cpu_template_system`
+ - `cpu_template_nice`
+
+And how just a few of those dimension template-generated alarms look like in the Netdata dashboard.
+
+![A few of the created alarms in the Netdata dashboard](https://user-images.githubusercontent.com/1153921/66219669-708cf880-e680-11e9-8b3a-7bfe178fa28b.png)
+
+All in all, this single entity creates 36 individual alarms. Much easier than writing 36 separate entities in your
+health configuration files!
+
+## What's next?
+
+We hope you're excited about the possibilities of using dimension templates! Maybe they'll inspire you to build new
+alarms that will help you better monitor the health of your systems.
+
+Or, at the very least, simplify your configuration files.
+
+For information about other advanced features in Netdata's health monitoring toolkit, check out our [health
+documentation](/health/README.md). And if you have some cool alarms you built using dimension templates,
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2dimension-templates&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/kubernetes-k8s-netdata.md b/docs/guides/monitor/kubernetes-k8s-netdata.md
new file mode 100644
index 000000000..40af0e94e
--- /dev/null
+++ b/docs/guides/monitor/kubernetes-k8s-netdata.md
@@ -0,0 +1,278 @@
+<!--
+title: "Monitor a Kubernetes (k8s) cluster with Netdata"
+description: "Use Netdata's helmchart, service discovery plugin, and Kubelet/kube-proxy collectors for real-time visibility into your Kubernetes cluster."
+image: /img/seo/guides/monitor/kubernetes-k8s-netdata.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/kubernetes-k8s-netdata.md
+-->
+
+# Monitor a Kubernetes cluster with Netdata
+
+While Kubernetes (k8s) might simplify the way you deploy, scale, and load-balance your applications, not all clusters
+come with "batteries included" when it comes to monitoring. Doubly so for a monitoring stack that helps you actively
+troubleshoot issues with your cluster.
+
+Some k8s providers, like GKE (Google Kubernetes Engine), do deploy clusters bundled with monitoring capabilities, such
+as Google Stackdriver Monitoring. However, these pre-configured solutions might not offer the depth of metrics,
+customization, or integration with your preferred alerting methods.
+
+Without this visibility, it's like you built an entire house and _then_ smashed your way through the finished walls to
+add windows.
+
+At Netdata, we're working to build Kubernetes monitoring tools that add visibility without complexity while also helping
+you actively troubleshoot anomalies or outages. Better yet, this toolkit includes a few complementary collectors that
+let you monitor the many layers of a Kubernetes cluster entirely for free.
+
+We already have a few complementary tools and collectors for monitoring the many layers of a Kubernetes cluster,
+_entirely for free_. These methods work together to help you troubleshoot performance or availability issues across
+your k8s infrastructure.
+
+- A [Helm chart](https://github.com/netdata/helmchart), which bootstraps a Netdata Agent pod on every node in your
+ cluster, plus an additional parent pod for storing metrics and managing alarm notifications.
+- A [service discovery plugin](https://github.com/netdata/agent-service-discovery), which discovers and creates
+ configuration files for [compatible
+ applications](https://github.com/netdata/helmchart#service-discovery-and-supported-services) and any endpoints
+ covered by our [generic Prometheus
+ collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus). With these
+ configuration files, Netdata collects metrics from any compatible applications as they run _inside_ of a pod.
+ Service discovery happens without manual intervention as pods are created, destroyed, or moved between nodes.
+- A [Kubelet collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/k8s_kubelet), which runs
+ on each node in a k8s cluster to monitor the number of pods/containers, the volume of operations on each container,
+ and more.
+- A [kube-proxy collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/k8s_kubeproxy), which
+ also runs on each node and monitors latency and the volume of HTTP requests to the proxy.
+- A [cgroups collector](/collectors/cgroups.plugin/README.md), which collects CPU, memory, and bandwidth metrics for
+ each container running on your k8s cluster.
+
+By following this guide, you'll learn how to discover, explore, and take away insights from each of these layers in your
+Kubernetes cluster. Let's get started.
+
+## Prerequisites
+
+To follow this guide, you need:
+
+- A working cluster running Kubernetes v1.9 or newer.
+- The [kubectl](https://kubernetes.io/docs/reference/kubectl/overview/) command line tool, within [one minor version
+ difference](https://kubernetes.io/docs/tasks/tools/install-kubectl/#before-you-begin) of your cluster, on an
+ administrative system.
+- The [Helm package manager](https://helm.sh/) v3.0.0 or newer on the same administrative system.
+
+**You need to install the Netdata Helm chart on your cluster** before you proceed. See our [Kubernetes installation
+process](/packaging/installer/methods/kubernetes.md) for details.
+
+This guide uses a 3-node cluster, running on Digital Ocean, as an example. This cluster runs CockroachDB, Redis, and
+Apache, which we'll use as examples of how to monitor a Kubernetes cluster with Netdata.
+
+```bash
+kubectl get nodes
+NAME STATUS ROLES AGE VERSION
+pool-0z7557lfb-3fnbf Ready <none> 51m v1.17.5
+pool-0z7557lfb-3fnbx Ready <none> 51m v1.17.5
+pool-0z7557lfb-3fnby Ready <none> 51m v1.17.5
+
+kubectl get pods
+NAME READY STATUS RESTARTS AGE
+cockroachdb-0 1/1 Running 0 44h
+cockroachdb-1 1/1 Running 0 44h
+cockroachdb-2 1/1 Running 1 44h
+cockroachdb-init-q7mp6 0/1 Completed 0 44h
+httpd-6f6cb96d77-4zlc9 1/1 Running 0 2m47s
+httpd-6f6cb96d77-d9gs6 1/1 Running 0 2m47s
+httpd-6f6cb96d77-xtpwn 1/1 Running 0 11m
+netdata-child-5p2m9 2/2 Running 0 42h
+netdata-child-92qvf 2/2 Running 0 42h
+netdata-child-djc6w 2/2 Running 0 42h
+netdata-parent-0 1/1 Running 0 42h
+redis-6bb94d4689-6nn6v 1/1 Running 0 73s
+redis-6bb94d4689-c2fk2 1/1 Running 0 73s
+redis-6bb94d4689-tjcz5 1/1 Running 0 88s
+```
+
+## Explore Netdata's Kubernetes charts
+
+The Helm chart installs and enables everything you need for visibility into your k8s cluster, including the service
+discovery plugin, Kubelet collector, kube-proxy collector, and cgroups collector.
+
+To get started, open your browser and navigate to your cluster's Netdata dashboard. See our [Kubernetes installation
+instructions](/packaging/installer/methods/kubernetes.md) for how to access the dashboard based on your cluster's
+configuration.
+
+You'll see metrics from the parent pod as soon as you navigate to the dashboard:
+
+![The Netdata dashboard when monitoring a Kubernetes
+cluster](https://user-images.githubusercontent.com/1153921/85343043-c6206400-b4a0-11ea-8de6-cf2c6837c456.png)
+
+Remember that the parent pod is responsible for storing metrics from all the child pods and sending alarms.
+
+Take note of the **Replicated Nodes** menu, which shows not only the parent pod, but also the three child pods. This
+example cluster has three child pods, but the number of child pods depends entirely on the number of nodes in your
+cluster.
+
+You'll use the links in the **Replicated Nodes** menu to navigate between the various pods in your cluster. Let's do
+that now to explore the pod-level Kubernetes monitoring Netdata delivers.
+
+### Pods
+
+Click on any of the nodes under **netdata-parent-0**. Netdata redirects you to a separate instance of the Netdata
+dashboard, run by the Netdata child pod, which visualizes thousands of metrics from that node.
+
+![The Netdata dashboard monitoring a pod in a Kubernetes
+cluster](https://user-images.githubusercontent.com/1153921/85348461-85c8e200-b4b0-11ea-85fa-e88046e94719.png)
+
+From this dashboard, you can see all the familiar charts showing the health and performance of an individual node, just
+like you would if you installed Netdata on a single physical system. Explore CPU, memory, bandwidth, networking, and
+more.
+
+You can use the menus on the right-hand side of the dashboard to navigate between different sections of charts and
+metrics.
+
+For example, click on the **Applications** section to view per-application metrics, collected by
+[apps.plugin](/collectors/apps.plugin/README.md). The first chart you see is **Apps CPU Time (100% = 1 core)
+(apps.cpu)**, which shows the CPU utilization of various applications running on the node. You shouldn't be surprised to
+find Netdata processes (`netdata`, `sd-agent`, and more) alongside Kubernetes processes (`kubelet`, `kube-proxy`, and
+`containers`).
+
+![Per-application monitoring on a Kubernetes
+cluster](https://user-images.githubusercontent.com/1153921/85348852-ad6c7a00-b4b1-11ea-95b4-5952bd0e9d98.png)
+
+Beneath the **Applications** section, you'll begin to see sections for **k8s kubelet**, **k8s kubeproxy**, and long
+strings that start with **k8s**, which are sections for metrics collected by
+[`cgroups.plugin`](/collectors/cgroups.plugin/README.md). Let's skip over those for now and head further down to see
+Netdata's service discovery in action.
+
+### Service discovery (services running inside of pods)
+
+Thanks to Netdata's service discovery feature, you monitor containerized applications running in k8s pods with zero
+configuration or manual intervention. Service discovery is like a watchdog for created or deleted pods, recognizing the
+service they run based on the image name and port and immediately attempting to apply a logical default configuration.
+
+Service configuration supports [popular
+applications](https://github.com/netdata/helmchart#service-discovery-and-supported-services), plus any endpoints covered
+by our [generic Prometheus collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus),
+which are automatically added or removed from Netdata as soon as the pods are created or destroyed.
+
+You can find these service discovery sections near the bottom of the menu. The names for these sections follow a
+pattern: the name of the detected service, followed by a string of the module name, pod TUID, service type, port
+protocol, and port number. See the graphic below to help you identify service discovery sections.
+
+![Showing the difference between cgroups and service discovery
+sections](https://user-images.githubusercontent.com/1153921/85443711-73998300-b546-11ea-9b3b-2dddfe00bdf8.png)
+
+For example, the first service discovery section shows metrics for a pod running an Apache web server running on port 80
+in a pod named `httpd-6f6cb96d77-xtpwn`.
+
+> If you don't see any service discovery sections, it's either because your services are not compatible with service
+> discovery or you changed their default configuration, such as the listening port. See the [list of supported
+> services](https://github.com/netdata/helmchart#service-discovery-and-supported-services) for details about whether
+> your installed services are compatible with service discovery, or read the [configuration
+> instructions](/packaging/installer/methods/kubernetes.md#configure-service-discovery) to change how it discovers the
+> supported services.
+
+Click on any of these service discovery sections to see metrics from that particular service. For example, click on the
+**Apache apache-default httpd-6f6cb96d77-xtpwn httpd tcp 80** section brings you to a series of charts populated by the
+[Apache collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/apache) itself.
+
+With service discovery, you can now see valuable metrics like requests, bandwidth, workers, and more for this pod.
+
+![Apache metrics collected via service
+discovery](https://user-images.githubusercontent.com/1153921/85443905-a5aae500-b546-11ea-99f0-be20ba796feb.png)
+
+The same goes for metrics coming from the CockroachDB pod running on this same node.
+
+![CockroachDB metrics collected via service
+discovery](https://user-images.githubusercontent.com/1153921/85444316-0e925d00-b547-11ea-83ba-b834275cb419.png)
+
+Service discovery helps you monitor the health of specific applications running on your Kubernetes cluster, which in
+turn gives you a complete resource when troubleshooting your infrastructure's health and performance.
+
+### Kubelet
+
+Let's head back up the menu to the **k8s kubelet** section. Kubelet is an agent that runs on every node in a cluster. It
+receives a set of PodSpecs from the Kubernetes Control Plane and ensures the pods described there are both running and
+healthy. Think of it as a manager for the various pods on that node.
+
+Monitoring each node's Kubelet can be invaluable when diagnosing issues with your Kubernetes cluster. For example, you
+can see when the volume of running containers/pods has dropped.
+
+![Charts showing pod and container removal during a scale
+down](https://user-images.githubusercontent.com/1153921/85598613-9ab48b00-b600-11ea-827e-d9ec7779e2d4.png)
+
+This drop might signal a fault or crash in a particular Kubernetes service or deployment (see `kubectl get services` or
+`kubectl get deployments` for more details). If the number of pods increases, it may be because of something more
+benign, like another member of your team scaling up a service with `kubectl scale`.
+
+You can also view charts for the Kubelet API server, the volume of runtime/Docker operations by type,
+configuration-related errors, and the actual vs. desired numbers of volumes, plus a lot more.
+
+Kubelet metrics are collected and visualized thanks to the [kubelet
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/k8s_kubelet), which is enabled with
+zero configuration on most Kubernetes clusters with standard configurations.
+
+### kube-proxy
+
+Scroll down into the **k8s kubeproxy** section to see metrics about the network proxy that runs on each node in your
+Kubernetes cluster. kube-proxy allows for pods to communicate with each other and accept sessions from outside your
+cluster.
+
+With Netdata, you can monitor how often your k8s proxies are syncing proxy rules between nodes. Dramatic changes in
+these figures could indicate an anomaly in your cluster that's worthy of further investigation.
+
+kube-proxy metrics are collected and visualized thanks to the [kube-proxy
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/k8s_kubeproxy), which is enabled with
+zero configuration on most Kubernetes clusters with standard configurations.
+
+### Containers
+
+We can finally talk about the final piece of Kubernetes monitoring: containers. Each Kubernetes pod is a set of one or
+more cooperating containers, sharing the same namespace, all of which are resourced and tracked by the cgroups feature
+of the Linux kernel. Netdata automatically detects and monitors each running container by interfacing with the cgroups
+feature itself.
+
+You can find these sections beneath **Users**, **k8s kubelet**, and **k8s kubeproxy**. Below, a number of containers
+devoted to running services like CockroachDB, Apache, Redis, and more.
+
+![A number of sections devoted to
+containers](https://user-images.githubusercontent.com/1153921/85480217-74e1a480-b574-11ea-9da7-dd975e0fde0c.png)
+
+Let's look at the section devoted to the container that runs the Apache pod named `httpd-6f6cb96d77-xtpwn`, as described
+in the previous part on [service discovery](#service-discovery-services-running-inside-of-pods).
+
+![cgroups metrics for an Apache
+container/pod](https://user-images.githubusercontent.com/1153921/85480516-03562600-b575-11ea-92ae-dd605bf04106.png)
+
+At first glance, these sections might seem redundant. You might ask, "Why do I need both a service discovery section
+_and_ a container section? It's just one pod, after all!"
+
+The difference is that while the service discovery section shows _Apache_ metrics, the equivalent cgroups section shows
+that container's CPU, memory, and bandwidth usage. You can use the two sections in conjunction to monitor the health and
+performance of your pods and the services they run.
+
+For example, let's say you get an alarm notification from `netdata-parent-0` saying the
+`ea287694-0f22-4f39-80aa-2ca066caf45a` container (also known as the `httpd-6f6cb96d77-xtpwn` pod) is using 99% of its
+available RAM. You can then hop over to the **Apache apache-default httpd-6f6cb96d77-xtpwn httpd tcp 80** section to
+further investigate why Apache is using an unexpected amount of RAM.
+
+All container metrics, whether they're managed by Kubernetes or the Docker service directly, are collected by the
+[cgroups collector](/collectors/cgroups.plugin/README.md). Because this collector integrates with the cgroups Linux
+kernel feature itself, monitoring containers requires zero configuration on most Kubernetes clusters.
+
+## What's next?
+
+After following this guide, you should have a more comprehensive understanding of how to monitor your Kubernetes cluster
+with Netdata. With this setup, you can monitor the health and performance of all your nodes, pods, services, and k8s
+agents. Pre-configured alarms will tell you when something goes awry, and this setup gives you every per-second metric
+you need to make informed decisions about your cluster.
+
+The best part of monitoring a Kubernetes cluster with Netdata is that you don't have to worry about constantly running
+complex `kubectl` commands to see hundreds of highly granular metrics from your nodes. And forget about using `kubectl
+exec -it pod bash` to start up a shell on a pod to find and diagnose an issue with any given pod on your cluster.
+
+And with service discovery, all your compatible pods will automatically appear and disappear as they scale up, move, or
+scale down across your cluster.
+
+To monitor your Kubernetes cluster with Netdata, start by [installing the Helm
+chart](/packaging/installer/methods/kubernetes.md) if you haven't already. The Netdata Agent is open source and entirely
+free for every cluster and every organization, whether you have 10 or 10,000 pods. A few minutes and one `helm install`
+later and you'll have started on the path of building an effective platform for troubleshooting the next performance or
+availability issue on your Kubernetes cluster.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fkubernetes-k8s-netdata.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/pi-hole-raspberry-pi.md b/docs/guides/monitor/pi-hole-raspberry-pi.md
new file mode 100644
index 000000000..a180466fb
--- /dev/null
+++ b/docs/guides/monitor/pi-hole-raspberry-pi.md
@@ -0,0 +1,163 @@
+<!--
+title: "Monitor Pi-hole (and a Raspberry Pi) with Netdata"
+description: "Monitor Pi-hole metrics, plus Raspberry Pi system metrics, in minutes and completely for free with Netdata's open-source monitoring agent."
+image: /img/seo/guides/monitor/netdata-pi-hole-raspberry-pi.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/pi-hole-raspberry-pi.md
+-->
+
+# Monitor Pi-hole (and a Raspberry Pi) with Netdata
+
+Between intrusive ads, invasive trackers, and vicious malware, many techies and homelab enthusiasts are advancing their
+networks' security and speed with a tiny computer and a powerful piece of software: [Pi-hole](https://pi-hole.net/).
+
+Pi-hole is a DNS sinkhole that prevents unwanted content from even reaching devices on your home network. It blocks ads
+and malware at the network, instead of using extensions/add-ons for individual browsers, so you'll stop seeing ads in
+some of the most intrusive places, like your smart TV. Pi-hole can even [improve your network's speed and reduce
+bandwidth](https://discourse.pi-hole.net/t/will-pi-hole-slow-down-my-network/2048).
+
+Most Pi-hole users run it on a [Raspberry Pi](https://www.raspberrypi.org/products/raspberry-pi-4-model-b/) (hence the
+name), a credit card-sized, super-capable computer that costs about $35.
+
+And to keep tabs on how both Pi-hole and the Raspberry Pi are working to protect your network, you can use the
+open-source [Netdata monitoring agent](https://github.com/netdata/netdata).
+
+To get started, all you need is a [Raspberry Pi](https://www.raspberrypi.org/products/raspberry-pi-4-model-b/) with
+Raspbian installed. This guide uses a Raspberry Pi 4 Model B and Raspbian GNU/Linux 10 (buster). This guide assumes
+you're connecting to a Raspberry Pi remotely over SSH, but you could also complete all these steps on the system
+directly using a keyboard, mouse, and monitor.
+
+## Why monitor Pi-hole and a Raspberry Pi with Netdata?
+
+Netdata helps you monitor and troubleshoot all kinds of devices and the applications they run, including IoT devices
+like the Raspberry Pi and applications like Pi-hole.
+
+After a two-minute installation and with zero configuration, you'll be able to see all of Pi-hole's metrics, including
+the volume of queries, connected clients, DNS queries per type, top clients, top blocked domains, and more.
+
+With Netdata installed, you can also monitor system metrics and any other applications you might be running. By default,
+Netdata collects metrics on CPU usage, disk IO, bandwidth, per-application resource usage, and a ton more. With the
+Raspberry Pi used for this guide, Netdata automatically collects about 1,500 metrics every second!
+
+![Real-time Pi-hole monitoring with
+Netdata](https://user-images.githubusercontent.com/1153921/90447745-c8fe9600-e098-11ea-8a57-4f07339f002b.png)
+
+## Install Netdata
+
+Let's start by installing Netdata first so that it can start collecting system metrics as soon as possible for the most
+possible historic data.
+
+> ⚠️ Don't install Netdata using `apt` and the default package available in Raspbian. The Netdata team does not maintain
+> this package, and can't guarantee it works properly.
+
+On Raspberry Pis running Raspbian, the best way to install Netdata is our one-line kickstart script. This script asks
+you to install dependencies, then compiles Netdata from source via [GitHub](https://github.com/netdata/netdata).
+
+```bash
+bash <(curl -Ss https://my-netdata.io/kickstart.sh)
+```
+
+Once installed on a Raspberry Pi 4 with no accessories, Netdata starts collecting roughly 1,500 metrics every second and
+populates its dashboard with more than 250 charts.
+
+Open your browser of choice and navigate to `http://NODE:19999/`, replacing `NODE` with the IP address of your Raspberry
+Pi. Not sure what that IP is? Try running `hostname -I | awk '{print $1}'` from the Pi itself.
+
+You'll see Netdata's dashboard and a few hundred real-time,
+[interactive](https://learn.netdata.cloud/guides/step-by-step/step-02#interact-with-charts) charts. Feel free to
+explore, but let's turn our attention to installing Pi-hole.
+
+## Install Pi-Hole
+
+Like Netdata, Pi-hole has a one-line script for simple installation. From your Raspberry Pi, run the following:
+
+```bash
+curl -sSL https://install.pi-hole.net | bash
+```
+
+The installer will help you set up Pi-hole based on the topology of your network. Once finished, you should set up your
+devices—or your router for system-wide sinkhole protection—to [use Pi-hole as their DNS
+service](https://discourse.pi-hole.net/t/how-do-i-configure-my-devices-to-use-pi-hole-as-their-dns-server/245). You've
+finished setting up Pi-hole at this point.
+
+As far as configuring Netdata to monitor Pi-hole metrics, there's nothing you actually need to do. Netdata's [Pi-hole
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/pihole) will autodetect the new service
+running on your Raspberry Pi and immediately start collecting metrics every second.
+
+Restart Netdata with `sudo service netdata restart` to start Netdata, which will then recognize that Pi-hole is running
+and start a per-second collection job. When you refresh your Netdata dashboard or load it up again in a new tab, you'll
+see a new entry in the menu for **Pi-hole** metrics.
+
+## Use Netdata to explore and monitor your Raspberry Pi and Pi-hole
+
+By the time you've reached this point in the guide, Netdata has already collected a ton of valuable data about your
+Raspberry Pi, Pi-hole, and any other apps/services you might be running. Even a few minutes of collecting 1,500 metrics
+per second adds up quickly.
+
+You can now use Netdata's synchronized charts to zoom, highlight, scrub through time, and discern how an anomaly in one
+part of your system might affect another.
+
+![The Netdata dashboard in
+action](https://user-images.githubusercontent.com/1153921/80827388-b9fee100-8b98-11ea-8f60-0d7824667cd3.gif)
+
+If you're completely new to Netdata, look at our [step-by-step guide](/docs/guides/step-by-step/step-00.md) for a
+walkthrough of all its features. For a more expedited tour, see the [get started guide](/docs/getting-started.md).
+
+### Enable temperature sensor monitoring
+
+You need to manually enable Netdata's built-in [temperature sensor
+collector](https://learn.netdata.cloud/docs/agent/collectors/charts.d.plugin/sensors) to start collecting metrics.
+
+> Netdata uses a few plugins to manage its [collectors](/collectors/REFERENCE.md), each using a different language: Go,
+> Python, Node.js, and Bash. While our Go collectors are undergoing the most active development, we still support the
+> other languages. In this case, you need to enable a temperature sensor collector that's written in Bash.
+
+First, open the `charts.d.conf` file for editing. You should always use the `edit-config` script to edit Netdata's
+configuration files, as it ensures your settings persist across updates to the Netdata Agent.
+
+```bash
+cd /etc/netdata
+sudo ./edit-config charts.d.conf
+```
+
+Uncomment the `sensors=force` line and save the file. Restart Netdata with `sudo service netdata restart` to enable
+Raspberry Pi temperature sensor monitoring.
+
+### Storing historical metrics on your Raspberry Pi
+
+By default, Netdata allocates 256 MiB in disk space to store historical metrics inside the [database
+engine](/database/engine/README.md). On the Raspberry Pi used for this guide, Netdata collects 1,500 metrics every
+second, which equates to storing 3.5 days worth of historical metrics.
+
+You can increase this allocation by editing `netdata.conf` and increasing the `dbengine multihost disk space` setting to
+more than 256.
+
+```yaml
+[global]
+ dbengine multihost disk space = 512
+```
+
+Use our [database sizing
+calculator](/docs/store/change-metrics-storage.md#calculate-the-system-resources-RAM-disk-space-needed-to-store-metrics)
+and [guide on storing historical metrics](/docs/guides/longer-metrics-storage.md) to help you determine the right
+setting for your Raspberry Pi.
+
+## What's next?
+
+Now that you're monitoring Pi-hole and your Raspberry Pi with Netdata, you can extend its capabilities even further, or
+configure Netdata to more specific goals.
+
+Most importantly, you can always install additional services and instantly collect metrics from many of them with our
+[300+ integrations](/collectors/COLLECTORS.md).
+
+- [Optimize performance](/docs/guides/configure/performance.md) using tweaks developed for IoT devices.
+- [Stream Raspberry Pi metrics](/streaming/README.md) to a parent host for easy access or longer-term storage.
+- [Tweak alarms](/health/QUICKSTART.md) for either Pi-hole or the health of your Raspberry Pi.
+- [Export metrics to external databases](/exporting/README.md) with the exporting engine.
+
+Or, head over to [our guides](https://learn.netdata.cloud/guides/) for even more experiments and insights into
+troubleshooting the health of your systems and services.
+
+If you have any questions about using Netdata to monitor your Raspberry Pi, Pi-hole, or any other applications, head on
+over to our [community forum](https://community.netdata.cloud/).
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fpi-hole-raspberry-pi.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/process.md b/docs/guides/monitor/process.md
new file mode 100644
index 000000000..893e6b704
--- /dev/null
+++ b/docs/guides/monitor/process.md
@@ -0,0 +1,299 @@
+<!--
+title: Monitor any process in real-time with Netdata
+description: "Tap into Netdata's powerful collectors, with per-second utilization metrics for every process, to troubleshoot faster and make data-informed decisions."
+image: /img/seo/guides/monitor/process.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/process.md
+-->
+
+# Monitor any process in real-time with Netdata
+
+Netdata is more than a multitude of generic system-level metrics and visualizations. Instead of providing only a bird's
+eye view of your system, leaving you to wonder exactly _what_ is taking up 99% CPU, Netdata also gives you visibility
+into _every layer_ of your node. These additional layers give you context, and meaningful insights, into the true health
+and performance of your infrastructure.
+
+One of these layers is the _process_. Every time a Linux system runs a program, it creates an independent process that
+executes the program's instructions in parallel with anything else happening on the system. Linux systems track the
+state and resource utilization of processes using the [`/proc` filesystem](https://en.wikipedia.org/wiki/Procfs), and
+Netdata is designed to hook into those metrics to create meaningful visualizations out of the box.
+
+While there are a lot of existing command-line tools for tracking processes on Linux systems, such as `ps` or `top`,
+only Netdata provides dozens of real-time charts, at both per-second and event frequency, without you having to write
+SQL queries or know a bunch of arbitrary command-line flags.
+
+With Netdata's process monitoring, you can:
+
+- Benchmark/optimize performance of standard applications, like web servers or databases
+- Benchmark/optimize performance of custom applications
+- Troubleshoot CPU/memory/disk utilization issues (why is my system's CPU spiking right now?)
+- Perform granular capacity planning based on the specific needs of your infrastructure
+- Search for leaking file descriptors
+- Investigate zombie processes
+
+... and much more. Let's get started.
+
+## Prerequisites
+
+- One or more Linux nodes running the [Netdata Agent](/docs/get/README.md). If you need more time to understand
+ Netdata before following this guide, see the [infrastructure](/docs/quickstart/infrastructure.md) or
+ [single-node](/docs/quickstart/single-node.md) monitoring quickstarts.
+- A general understanding of how to [configure the Netdata Agent](/docs/configure/nodes.md) using `edit-config`.
+- A Netdata Cloud account. [Sign up](https://app.netdata.cloud) if you don't have one already.
+
+## How does Netdata do process monitoring?
+
+The Netdata Agent already knows to look for hundreds of [standard applications that we support via
+collectors](/collectors/COLLECTORS.md), and groups them based on their purpose. Let's say you want to monitor a MySQL
+database using its process. The Netdata Agent already knows to look for processes with the string `mysqld` in their
+name, along with a few others, and puts them into the `sql` group. This `sql` group then becomes a dimension in all
+process-specific charts.
+
+The process and groups settings are used by two unique and powerful collectors.
+
+[**`apps.plugin`**](/collectors/apps.plugin/README.md) looks at the Linux process tree every second, much like `top` or
+`ps fax`, and collects resource utilization information on every running process. It then automatically adds a layer of
+meaningful visualization on top of these metrics, and creates per-process/application charts.
+
+[**`ebpf.plugin`**](/collectors/ebpf.plugin/README.md): Netdata's extended Berkeley Packet Filter (eBPF) collector
+monitors Linux kernel-level metrics for file descriptors, virtual filesystem IO, and process management, and then hands
+process-specific metrics over to `apps.plugin` for visualization. The eBPF collector also collects and visualizes
+metrics on an _event frequency_, which means it captures every kernel interaction, and not just the volume of
+interaction at every second in time. That's even more precise than Netdata's standard per-second granularity.
+
+### Per-process metrics and charts in Netdata
+
+With these collectors working in parallel, Netdata visualizes the following per-second metrics for _any_ process on your
+Linux systems:
+
+- CPU utilization (`apps.cpu`)
+ - Total CPU usage
+ - User/system CPU usage (`apps.cpu_user`/`apps.cpu_system`)
+- Disk I/O
+ - Physical reads/writes (`apps.preads`/`apps.pwrites`)
+ - Logical reads/writes (`apps.lreads`/`apps.lwrites`)
+ - Open unique files (if a file is found open multiple times, it is counted just once, `apps.files`)
+- Memory
+ - Real Memory Used (non-shared, `apps.mem`)
+ - Virtual Memory Allocated (`apps.vmem`)
+ - Minor page faults (i.e. memory activity, `apps.minor_faults`)
+- Processes
+ - Threads running (`apps.threads`)
+ - Processes running (`apps.processes`)
+ - Carried over uptime (since the last Netdata Agent restart, `apps.uptime`)
+ - Minimum uptime (`apps.uptime_min`)
+ - Average uptime (`apps.uptime_average`)
+ - Maximum uptime (`apps.uptime_max`)
+ - Pipes open (`apps.pipes`)
+- Swap memory
+ - Swap memory used (`apps.swap`)
+ - Major page faults (i.e. swap activity, `apps.major_faults`)
+- Network
+ - Sockets open (`apps.sockets`)
+- eBPF file
+ - Number of calls to open files. (`apps.file_open`)
+ - Number of files closed. (`apps.file_closed`)
+ - Number of calls to open files that returned errors.
+ - Number of calls to close files that returned errors.
+- eBPF syscall
+ - Number of calls to delete files. (`apps.file_deleted`)
+ - Number of calls to `vfs_write`. (`apps.vfs_write_call`)
+ - Number of calls to `vfs_read`. (`apps.vfs_read_call`)
+ - Number of bytes written with `vfs_write`. (`apps.vfs_write_bytes`)
+ - Number of bytes read with `vfs_read`. (`apps.vfs_read_bytes`)
+ - Number of calls to write a file that returned errors.
+ - Number of calls to read a file that returned errors.
+- eBPF process
+ - Number of process created with `do_fork`. (`apps.process_create`)
+ - Number of threads created with `do_fork` or `__x86_64_sys_clone`, depending on your system's kernel version. (`apps.thread_create`)
+ - Number of times that a process called `do_exit`. (`apps.task_close`)
+- eBPF net
+ - Number of bytes sent. (`apps.bandwidth_sent`)
+ - Number of bytes received. (`apps.bandwidth_recv`)
+
+As an example, here's the per-process CPU utilization chart, including a `sql` group/dimension.
+
+![A per-process CPU utilization chart in Netdata
+Cloud](https://user-images.githubusercontent.com/1153921/101217226-3a5d5700-363e-11eb-8610-aa1640aefb5d.png)
+
+## Configure the Netdata Agent to recognize a specific process
+
+To monitor any process, you need to make sure the Netdata Agent is aware of it. As mentioned above, the Agent is already
+aware of hundreds of processes, and collects metrics from them automatically.
+
+But, if you want to change the grouping behavior, add an application that isn't yet supported in the Netdata Agent, or
+monitor a custom application, you need to edit the `apps_groups.conf` configuration file.
+
+Navigate to your [Netdata config directory](/docs/configure/nodes.md) and use `edit-config` to edit the file.
+
+```bash
+cd /etc/netdata # Replace this with your Netdata config directory if not at /etc/netdata.
+sudo ./edit-config apps_groups.conf
+```
+
+Inside the file are lists of process names, oftentimes using wildcards (`*`), that the Netdata Agent looks for and
+groups together. For example, the Netdata Agent looks for processes starting with `mysqld`, `mariad`, `postgres`, and
+others, and groups them into `sql`. That makes sense, since all these processes are for SQL databases.
+
+```conf
+sql: mysqld* mariad* postgres* postmaster* oracle_* ora_* sqlservr
+```
+
+These groups are then reflected as [dimensions](/web/README.md#dimensions) within Netdata's charts.
+
+![An example per-process CPU utilization chart in Netdata
+Cloud](https://user-images.githubusercontent.com/1153921/101369156-352e2100-3865-11eb-9f0d-b8fac162e034.png)
+
+See the following two sections for details based on your needs. If you don't need to configure `apps_groups.conf`, jump
+down to [visualizing process metrics](#visualize-process-metrics).
+
+### Standard applications (web servers, databases, containers, and more)
+
+As explained above, the Netdata Agent is already aware of most standard applications you run on Linux nodes, and you
+shouldn't need to configure it to discover them.
+
+However, if you're using multiple applications that the Netdata Agent groups together you may want to separate them for
+more precise monitoring. If you're not running any other types of SQL databases on that node, you don't need to change
+the grouping, since you know that any MySQL is the only process contributing to the `sql` group.
+
+Let's say you're using both MySQL and PostgreSQL databases on a single node, and want to monitor their processes
+independently. Open the `apps_groups.conf` file as explained in the [section
+above](#configure-the-netdata-agent-to-recognize-a-specific-process) and scroll down until you find the `database
+servers` section. Create new groups for MySQL and PostgreSQL, and move their process queries into the unique groups.
+
+```conf
+# -----------------------------------------------------------------------------
+# database servers
+
+mysql: mysqld*
+postgres: postgres*
+sql: mariad* postmaster* oracle_* ora_* sqlservr
+```
+
+Restart Netdata with `service netdata restart`, or the appropriate method for your system, to start collecting
+utilization metrics from your application. Time to [visualize your process metrics](#visualize-process-metrics).
+
+### Custom applications
+
+Let's assume you have an application that runs on the process `custom-app`. To monitor eBPF metrics for that application
+separate from any others, you need to create a new group in `apps_groups.conf` and associate that process name with it.
+
+Open the `apps_groups.conf` file as explained in the [section
+above](#configure-the-netdata-agent-to-recognize-a-specific-process). Scroll down to `# NETDATA processes accounting`.
+Above that, paste in the following text, which creates a new `custom-app` group with the `custom-app` process. Replace
+`custom-app` with the name of your application's Linux process. `apps_groups.conf` should now look like this:
+
+```conf
+...
+# -----------------------------------------------------------------------------
+# Custom applications to monitor with apps.plugin and ebpf.plugin
+
+custom-app: custom-app
+
+# -----------------------------------------------------------------------------
+# NETDATA processes accounting
+...
+```
+
+Restart Netdata with `service netdata restart`, or the appropriate method for your system, to start collecting
+utilization metrics from your application.
+
+## Visualize process metrics
+
+Now that you're collecting metrics for your process, you'll want to visualize them using Netdata's real-time,
+interactive charts. Find these visualizations in the same section regardless of whether you use [Netdata
+Cloud](https://app.netdata.cloud) for infrastructure monitoring, or single-node monitoring with the local Agent's
+dashboard at `http://localhost:19999`.
+
+If you need a refresher on all the available per-process charts, see the [above
+list](#per-process-metrics-and-charts-in-netdata).
+
+### Using Netdata's application collector (`apps.plugin`)
+
+`apps.plugin` puts all of its charts under the **Applications** section of any Netdata dashboard.
+
+![Screenshot of the Applications section on a Netdata
+dashboard](https://user-images.githubusercontent.com/1153921/101401172-2ceadb80-388f-11eb-9e9a-88443894c272.png)
+
+Let's continue with the MySQL example. We can create a [test
+database](https://www.digitalocean.com/community/tutorials/how-to-measure-mysql-query-performance-with-mysqlslap) in
+MySQL to generate load on the `mysql` process.
+
+`apps.plugin` immediately collects and visualizes this activity `apps.cpu` chart, which shows an increase in CPU
+utilization from the `sql` group. There is a parallel increase in `apps.pwrites`, which visualizes writes to disk.
+
+![Per-application CPU utilization
+metrics](https://user-images.githubusercontent.com/1153921/101409725-8527da80-389b-11eb-96e9-9f401535aafc.png)
+
+![Per-application disk writing
+metrics](https://user-images.githubusercontent.com/1153921/101409728-85c07100-389b-11eb-83fd-d79dd1545b5a.png)
+
+Next, the `mysqlslap` utility queries the database to provide some benchmarking load on the MySQL database. It won't
+look exactly like a production database executing lots of user queries, but it gives you an idea into the possibility of
+these visualizations.
+
+```bash
+sudo mysqlslap --user=sysadmin --password --host=localhost --concurrency=50 --iterations=10 --create-schema=employees --query="SELECT * FROM dept_emp;" --verbose
+```
+
+The following per-process disk utilization charts show spikes under the `sql` group at the same time `mysqlslap` was run
+numerous times, with slightly different concurrency and query options.
+
+![Per-application disk
+metrics](https://user-images.githubusercontent.com/1153921/101411810-d08fb800-389e-11eb-85b3-f3fa41f1f887.png)
+
+> 💡 Click on any dimension below a chart in Netdata Cloud (or to the right of a chart on a local Agent dashboard), to
+> visualize only that dimension. This can be particularly useful in process monitoring to separate one process'
+> utilization from the rest of the system.
+
+### Using Netdata's eBPF collector (`ebpf.plugin`)
+
+Netdata's eBPF collector puts its charts in two places. Of most importance to process monitoring are the **ebpf file**,
+**ebpf syscall**, **ebpf process**, and **ebpf net** sub-sections under **Applications**, shown in the above screenshot.
+
+For example, running the above workload shows the entire "story" how MySQL interacts with the Linux kernel to open
+processes/threads to handle a large number of SQL queries, then subsequently close the tasks as each query returns the
+relevant data.
+
+![Per-process eBPF
+charts](https://user-images.githubusercontent.com/1153921/101412395-c8844800-389f-11eb-86d2-20c8a0f7b3c0.png)
+
+`ebpf.plugin` visualizes additional eBPF metrics, which are system-wide and not per-process, under the **eBPF** section.
+
+## What's next?
+
+Now that you have `apps_groups.conf` configured correctly, and know where to find per-process visualizations throughout
+Netdata's ecosystem, you can precisely monitor the health and performance of any process on your node using per-second
+metrics.
+
+For even more in-depth troubleshooting, see our guide on [monitoring and debugging applications with
+eBPF](/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md).
+
+If the process you're monitoring also has a [supported collector](/collectors/COLLECTORS.md), now is a great time to set
+that up if it wasn't autodetected. With both process utilization and application-specific metrics, you should have every
+piece of data needed to discover the root cause of an incident. See our [collector
+setup](/docs/collect/enable-configure.md) doc for details.
+
+[Create new dashboards](/docs/visualize/create-dashboards.md) in Netdata Cloud using charts from `apps.plugin`,
+`ebpf.plugin`, and application-specific collectors to build targeted dashboards for monitoring key processes across your
+infrastructure.
+
+Try running [Metric Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) on a node that's
+running the process(es) you're monitoring. Even if nothing is going wrong at the moment, Netdata Cloud's embedded
+intelligence helps you better understand how a MySQL database, for example, might influence a system's volume of memory
+page faults. And when an incident is afoot, use Metric Correlations to reduce mean time to resolution (MTTR) and
+cognitive load.
+
+If you want more specific metrics from your custom application, check out Netdata's [statsd
+support](/collectors/statsd.plugin/README.md). With statd, you can send detailed metrics from your application to
+Netdata and visualize them with per-second granularity. Netdata's statsd collector works with dozens of [statsd server
+implementations](https://github.com/etsy/statsd/wiki#client-implementations), which work with most application
+frameworks.
+
+### Related reference documentation
+
+- [Netdata Agent · `apps.plugin`](/collectors/apps.plugin/README.md)
+- [Netdata Agent · `ebpf.plugin`](/collectors/ebpf.plugin/README.md)
+- [Netdata Agent · Dashboards](/web/README.md#dimensions)
+- [Netdata Agent · MySQL collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fprocess&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/stop-notifications-alarms.md b/docs/guides/monitor/stop-notifications-alarms.md
new file mode 100644
index 000000000..587880ab1
--- /dev/null
+++ b/docs/guides/monitor/stop-notifications-alarms.md
@@ -0,0 +1,92 @@
+<!--
+title: "Stop notifications for individual alarms"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/stop-notifications-alarms.md
+-->
+
+# Stop notifications for individual alarms
+
+In this short tutorial, you'll learn how to stop notifications for individual alarms in Netdata's health
+monitoring system. We also refer to this process as _silencing_ the alarm.
+
+Why silence alarms? We designed Netdata's pre-configured alarms for production systems, so they might not be
+relevant if you run Netdata on your laptop or a small virtual server. If they're not helpful, they can be a distraction
+to real issues with health and performance.
+
+Silencing individual alarms is an excellent solution for situations where you're not interested in seeing a specific
+alarm but don't want to disable a [notification system](/health/notifications/README.md) entirely.
+
+## Find the alarm configuration file
+
+To silence an alarm, you need to know where to find its configuration file.
+
+Let's use the `system.cpu` chart as an example. It's the first chart you'll see on most Netdata dashboards.
+
+To figure out which file you need to edit, open up Netdata's dashboard and, click the **Alarms** button at the top
+of the dashboard, followed by clicking on the **All** tab.
+
+In this example, we're looking for the `system - cpu` entity, which, when opened, looks like this:
+
+![The system - cpu alarm
+entity](https://user-images.githubusercontent.com/1153921/67034648-ebb4cc80-f0cc-11e9-9d49-1023629924f5.png)
+
+In the `source` row, you see that this chart is getting its configuration from
+`4@/usr/lib/netdata/conf.d/health.d/cpu.conf`. The relevant part of begins at `health.d`: `health.d/cpu.conf`. That's
+the file you need to edit if you want to silence this alarm.
+
+For more information about editing or referencing health configuration files on your system, see the [health
+quickstart](/health/QUICKSTART.md#edit-health-configuration-files).
+
+## Edit the file to enable silencing
+
+To edit `health.d/cpu.conf`, use `edit-config` from inside of your Netdata configuration directory.
+
+```bash
+cd /etc/netdata/ # Replace with your Netdata configuration directory, if not /etc/netdata/
+./edit-config health.d/cpu.conf
+```
+
+> You may need to use `sudo` or another method of elevating your privileges.
+
+The beginning of the file looks like this:
+
+```yaml
+template: 10min_cpu_usage
+ on: system.cpu
+ os: linux
+ hosts: *
+ lookup: average -10m unaligned of user,system,softirq,irq,guest
+ units: %
+ every: 1m
+ warn: $this > (($status >= $WARNING) ? (75) : (85))
+ crit: $this > (($status == $CRITICAL) ? (85) : (95))
+ delay: down 15m multiplier 1.5 max 1h
+ info: average cpu utilization for the last 10 minutes (excluding iowait, nice and steal)
+ to: sysadmin
+```
+
+To silence this alarm, change `sysadmin` to `silent`.
+
+```yaml
+ to: silent
+```
+
+Use one of the available [methods](/health/QUICKSTART.md#reload-health-configuration) to reload your health configuration
+ and ensure you get no more notifications about that alarm**.
+
+You can add `to: silent` to any alarm you'd rather not bother you with notifications.
+
+## What's next?
+
+You should now know the fundamentals behind silencing any individual alarm in Netdata.
+
+To learn about _all_ of Netdata's health configuration possibilities, visit the [health reference
+guide](/health/REFERENCE.md), or check out other [tutorials on health monitoring](/health/README.md#tutorials).
+
+Or, take better control over how you get notified about alarms via the [notification
+system](/health/notifications/README.md).
+
+You can also use Netdata's [Health Management API](/web/api/health/README.md#health-management-api) to control health
+checks and notifications while Netdata runs. With this API, you can disable health checks during a maintenance window or
+backup process, for example.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fstop-notifications-alarms%2F&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/monitor/visualize-monitor-anomalies.md b/docs/guides/monitor/visualize-monitor-anomalies.md
new file mode 100644
index 000000000..f37dadc62
--- /dev/null
+++ b/docs/guides/monitor/visualize-monitor-anomalies.md
@@ -0,0 +1,147 @@
+<!--
+title: "Monitor and visualize anomalies with Netdata (part 2)"
+description: "Using unsupervised anomaly detection and machine learning, get notified "
+image: /img/seo/guides/monitor/visualize-monitor-anomalies.png
+author: "Joel Hans"
+author_title: "Editorial Director, Technical & Educational Resources"
+author_img: "/img/authors/joel-hans.jpg"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/visualize-monitor-anomalies.md
+-->
+
+# Monitor and visualize anomalies with Netdata (part 2)
+
+Welcome to part 2 of our series of guides on using _unsupervised anomaly detection_ to detect issues with your systems,
+containers, and applications using the open-source Netdata Agent. For an introduction to detecting anomalies and
+monitoring associated metrics, see [part 1](/docs/guides/monitor/anomaly-detection.md), which covers prerequisites and
+configuration basics.
+
+With anomaly detection in the Netdata Agent set up, you will now want to visualize and monitor which charts have
+anomalous data, when, and where to look next.
+
+> 💡 In certain cases, the anomalies collector doesn't start immediately after restarting the Netdata Agent. If this
+> happens, you won't see the dashboard section or the relevant [charts](#visualize-anomalies-in-charts) right away. Wait
+> a minute or two, refresh, and look again. If the anomalies charts and alarms are still not present, investigate the
+> error log with `less /var/log/netdata/error.log | grep anomalies`.
+
+## Test anomaly detection
+
+Time to see the Netdata Agent's unsupervised anomaly detection in action. To trigger anomalies on the Nginx web server,
+use `ab`, otherwise known as [Apache Bench](https://httpd.apache.org/docs/2.4/programs/ab.html). Despite its name, it
+works just as well with Nginx web servers. Install it on Ubuntu/Debian systems with `sudo apt install apache2-utils`.
+
+> 💡 If you haven't followed the guide's example of using Nginx, an easy way to test anomaly detection on your node is
+> to use the `stress-ng` command, which is available on most Linux distributions. Run `stress-ng --cpu 0` to create CPU
+> stress or `stress-ng --vm 0` for RAM stress. Each test will cause some "collateral damage," in that you may see CPU
+> utilization rise when running the RAM test, and vice versa.
+
+The following test creates a minimum of 10,000,000 requests for Nginx to handle, with a maximum of 10 at any given time,
+with a run time of 60 seconds. If your system can handle those 10,000,000 in less than 60 seconds, `ab` will keep
+sending requests until the timer runs out.
+
+```bash
+ab -k -c 10 -t 60 -n 10000000 http://127.0.0.1/
+```
+
+Let's see how Netdata detects this anomalous behavior and propagates information to you through preconfigured alarms and
+dashboards that automatically organize anomaly detection metrics into meaningful charts to help you begin root cause
+analysis (RCA).
+
+## Monitor anomalies with alarms
+
+The anomalies collector creates two "classes" of alarms for each chart captured by the `charts_regex` setting. All these
+alarms are preconfigured based on your [configuration in
+`anomalies.conf`](/docs/guides/monitor/anomaly-detection.md#configure-the-anomalies-collector). With the `charts_regex`
+and `charts_to_exclude` settings from [part 1](/docs/guides/monitor/anomaly-detection.md) of this guide series, the
+Netdata Agent creates 32 alarms driven by unsupervised anomaly detection.
+
+The first class triggers warning alarms when the average anomaly probability for a given chart has stayed above 50% for
+at least the last two minutes.
+
+![An example anomaly probability
+alarm](https://user-images.githubusercontent.com/1153921/104225767-0a0a9480-5404-11eb-9bfd-e29592397203.png)
+
+The second class triggers warning alarms when the number of anomalies in the last two minutes hits 10 or higher.
+
+![An example anomaly count
+alarm](https://user-images.githubusercontent.com/1153921/104225769-0aa32b00-5404-11eb-95f3-7309f9429fe1.png)
+
+If you see either of these alarms in Netdata Cloud, the local Agent dashboard, or on your preferred notification
+platform, it's a safe bet that the node's current metrics have deviated from normal. That doesn't necessarily mean
+there's a full-blown incident, depending on what application/service you're using anomaly detection on, but it's worth
+further investigation.
+
+As you use the anomalies collector, you may find that the default settings provide too many or too few genuine alarms.
+In this case, [configure the alarm](/docs/monitor/configure-alarms.md) with `sudo ./edit-config
+health.d/anomalies.conf`. Take a look at the `lookup` line syntax in the [health
+reference](/health/REFERENCE.md#alarm-line-lookup) to understand how the anomalies collector automatically creates
+alarms for any dimension on the `anomalies_local.probability` and `anomalies_local.anomaly` charts.
+
+## Visualize anomalies in charts
+
+In either [Netdata Cloud](https://app.netdata.cloud) or the local Agent dashboard at `http://NODE:19999`, click on the
+**Anomalies** [section](/web/gui/README.md#sections) to see the pair of anomaly detection charts, which are
+preconfigured to visualize per-second anomaly metrics based on your [configuration in
+`anomalies.conf`](/docs/guides/monitor/anomaly-detection.md#configure-the-anomalies-collector).
+
+These charts have the contexts `anomalies.probability` and `anomalies.anomaly`. Together, these charts
+create meaningful visualizations for immediately recognizing not only that something is going wrong on your node, but
+give context as to where to look next.
+
+The `anomalies_local.probability` chart shows the probability that the latest observed data is anomalous, based on the
+trained model. The `anomalies_local.anomaly` chart visualizes 0&rarr;1 predictions based on whether the latest observed
+data is anomalous based on the trained model. Both charts share the same dimensions, which you configured via
+`charts_regex` and `charts_to_exclude` in [part 1](/docs/guides/monitor/anomaly-detection.md).
+
+In other words, the `probability` chart shows the amplitude of the anomaly, whereas the `anomaly` chart provides quick
+yes/no context.
+
+![Two charts created by the anomalies
+collector](https://user-images.githubusercontent.com/1153921/104226380-ef84eb00-5404-11eb-9faf-9e64c43b95ff.png)
+
+Before `08:32:00`, both charts show little in the way of verified anomalies. Based on the metrics the anomalies
+collector has trained on, a certain percentage of anomaly probability score is normal, as seen in the
+`web_log_nginx_requests_prob` dimension and a few others. What you're looking for is large deviations from the "noise"
+in the `anomalies.probability` chart, or any increments to the `anomalies.anomaly` chart.
+
+Unsurprisingly, the stress test that began at `08:32:00` caused significant changes to these charts. The three
+dimensions that immediately shot to 100% anomaly probability, and remained there during the test, were
+`web_log_nginx.requests_prob`, `nginx_local.connections_accepted_handled_prob`, and `system.cpu_pressure_prob`.
+
+## Build an anomaly detection dashboard
+
+[Netdata Cloud](https://app.netdata.cloud) features a drag-and-drop [dashboard
+editor](/docs/visualize/create-dashboards.md) that helps you create entirely new dashboards with charts targeted for
+your specific applications.
+
+For example, here's a dashboard designed for visualizing anomalies present in an Nginx web server, including
+documentation about why the dashboard exists and where to look next based on what you're seeing:
+
+![An example anomaly detection
+dashboard](https://user-images.githubusercontent.com/1153921/104226915-c6188f00-5405-11eb-9bb4-559a18016fa7.png)
+
+Use the anomaly charts for instant visual identification of potential anomalies, and then Nginx-specific charts, in the
+right column, to validate whether the probability and anomaly counters are showing a valid incident worth further
+investigation using [Metric Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) to narrow
+the dashboard into only the charts relevant to what you're seeing from the anomalies collector.
+
+## What's next?
+
+Between this guide and [part 1](/docs/guides/monitor/anomaly-detection.md), which covered setup and configuration, you
+now have a fundamental understanding of how unsupervised anomaly detection in Netdata works, from root cause to alarms
+to preconfigured or custom dashboards.
+
+We'd love to hear your feedback on the anomalies collector. Hop over to the [community
+forum](https://community.netdata.cloud/t/anomalies-collector-feedback-megathread/767), and let us know if you're already getting value from
+unsupervised anomaly detection, or would like to see something added to it. You might even post a custom configuration
+that works well for monitoring some other popular application, like MySQL, PostgreSQL, Redis, or anything else we
+[support through collectors](/collectors/COLLECTORS.md).
+
+In part 3 of this series on unsupervised anomaly detection using Netdata, we'll create a custom model to apply
+unsupervised anomaly detection to an entire mission-critical application. Stay tuned!
+
+### Related reference documentation
+
+- [Netdata Agent · Anomalies collector](/collectors/python.d.plugin/anomalies/README.md)
+- [Netdata Cloud · Build new dashboards](https://learn.netdata.cloud/docs/cloud/visualize/dashboards)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fmonitor%2Fanomaly-detectionl&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-00.md b/docs/guides/step-by-step/step-00.md
new file mode 100644
index 000000000..794366645
--- /dev/null
+++ b/docs/guides/step-by-step/step-00.md
@@ -0,0 +1,115 @@
+<!--
+title: "The step-by-step Netdata guide"
+date: 2020-03-31
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-00.md
+-->
+
+# The step-by-step Netdata guide
+
+Welcome to Netdata! We're glad you're interested in our health monitoring and performance troubleshooting system.
+
+Because Netdata is entirely open-source software, you can use it free of charge, whether you want to monitor one or ten
+thousand systems! All our code is hosted on [GitHub](https://github.com/netdata/netdata).
+
+This guide is designed to help you understand what Netdata is, what it's capable of, and how it'll help you make
+faster and more informed decisions about the health and performance of your systems and applications. If you're
+completely new to Netdata, or have never tried health monitoring/performance troubleshooting systems before, this
+guide is perfect for you.
+
+If you have monitoring experience, or would rather get straight into configuring Netdata to your needs, you can jump
+straight into code and configurations with our [getting started guide](/docs/getting-started.md).
+
+> This guide contains instructions for Netdata installed on a Linux system. Many of the instructions will work on
+> other supported operating systems, like FreeBSD and macOS, but we can't make any guarantees.
+
+## Where to go if you need help
+
+No matter where you are in this Netdata guide, if you need help, head over to our [GitHub
+repository](https://github.com/netdata/netdata/). That's where we collect questions from users, help fix their bugs, and
+point people toward documentation that explains what they're having trouble with.
+
+Click on the **issues** tab to see all the conversations we're having with Netdata users. Use the search bar to find
+previously-written advice for your specific problem, and if you don't see any results, hit the **New issue** button to
+send us a question.
+
+Or, if that's too complicated, feel free to send this guide's author [an email](mailto:joel@netdata.cloud).
+
+## Before we get started
+
+Let's make sure you have Netdata installed on your system!
+
+> If you already installed Netdata, feel free to skip to [Step 1: Netdata's building blocks](step-01.md).
+
+The easiest way to install Netdata on a Linux system is our `kickstart.sh` one-line installer. Run this on your system
+and let it take care of the rest.
+
+This script will install Netdata from source, keep it up to date with nightly releases, connects to the Netdata
+[registry](/registry/README.md), and sends [_anonymous statistics_](/docs/anonymous-statistics.md) about how you use
+Netdata. We use this information to better understand how we can improve the Netdata experience for all our users.
+
+```bash
+bash <(curl -Ss https://my-netdata.io/kickstart.sh)
+```
+
+Once finished, you'll have Netdata installed, and you'll be set up to get _nightly updates_ to get the latest features,
+improvements, and bugfixes.
+
+If this method doesn't work for you, or you want to use a different process, visit our [installation
+documentation](/packaging/installer/README.md) for details.
+
+## Netdata fundamentals
+
+[Step 1. Netdata's building blocks](step-01.md)
+
+In this introductory step, we'll talk about the fundamental ideas, philosophies, and UX decisions behind Netdata.
+
+[Step 2. Get to know Netdata's dashboard](step-02.md)
+
+Visit Netdata's dashboard to explore, manipulate charts, and check out alarms. Get your first taste of visual anomaly
+detection.
+
+[Step 3. Monitor more than one system with Netdata](step-03.md)
+
+While the dashboard lets you quickly move from one agent to another, Netdata Cloud is our SaaS solution for monitoring
+the health of many systems. We'll cover its features and the benefits of using Netdata Cloud on top of the dashboard.
+
+[Step 4. The basics of configuring Netdata](step-04.md)
+
+While Netdata can monitor thousands of metrics in real-time without any configuration, you may _want_ to tweak some
+settings based on your system's resources.
+
+## Intermediate steps
+
+[Step 5. Health monitoring alarms and notifications](step-05.md)
+
+Learn how to tune, silence, and write custom alarms. Then enable notifications so you never miss a change in health
+status or performance anomaly.
+
+[Step 6. Collect metrics from more services and apps](step-06.md)
+
+Learn how to enable/disable collection plugins and configure a collection plugin job to add more charts to your Netdata
+dashboard and begin monitoring more apps and services, like MySQL, Nginx, MongoDB, and hundreds more.
+
+[Step 7. Netdata's dashboard in depth](step-07.md)
+
+Now that you configured your Netdata monitoring agent to your exact needs, you'll dive back into metrics snapshots,
+updates, and the dashboard's settings.
+
+## Advanced steps
+
+[Step 8. Building your first custom dashboard](step-08.md)
+
+Using simple HTML, CSS, and JavaScript, we'll build a custom dashboard that displays essential information in any format
+you choose. You can even monitor many systems from a single HTML file.
+
+[Step 9. Long-term metrics storage](step-09.md)
+
+By default, Netdata can store lots of real-time metrics, but you can also tweak our custom database engine to your
+heart's content. Want to take your Netdata metrics elsewhere? We're happy to help you archive data to Prometheus,
+MongoDB, TimescaleDB, and others.
+
+[Step 10. Set up a proxy](step-10.md)
+
+Run Netdata behind an Nginx proxy to improve performance, and enable TLS/HTTPS for better security.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-00&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-01.md b/docs/guides/step-by-step/step-01.md
new file mode 100644
index 000000000..cdcfcd7a2
--- /dev/null
+++ b/docs/guides/step-by-step/step-01.md
@@ -0,0 +1,156 @@
+<!--
+title: "Step 1. Netdata's building blocks"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-01.md
+-->
+
+# Step 1. Netdata's building blocks
+
+Netdata is a distributed and real-time _health monitoring and performance troubleshooting toolkit_ for monitoring your
+systems and applications.
+
+Because the monitoring agent is highly-optimized, you can install it all your physical systems, containers, IoT devices,
+and edge devices without disrupting their core function.
+
+By default, and without configuration, Netdata delivers real-time insights into everything happening on the system, from
+CPU utilization to packet loss on every network device. Netdata can also auto-detect metrics from hundreds of your
+favorite services and applications, like MySQL/MariaDB, Docker, Nginx, Apache, MongoDB, and more.
+
+All metrics are automatically-updated, providing interactive dashboards that allow you to dive in, discover anomalies,
+and figure out the root cause analysis of any issue.
+
+Best of all, Netdata is entirely free, open-source software! Solo developers and enterprises with thousands of systems
+can both use it free of charge. We're hosted on [GitHub](https://github.com/netdata/netdata).
+
+Want to learn about the history of Netdata, and what inspired our CEO to build it in the first place, and where we're
+headed? Read Costa's comprehensive blog post: _[Redefining monitoring with Netdata (and how it came to
+be)](https://blog.netdata.cloud/posts/redefining-monitoring-netdata/)_.
+
+## What you'll learn in this step
+
+In the first step of the Netdata guide, you'll learn about:
+
+- [Netdata's core features](#netdatas-core-features)
+- [Why you should use Netdata](#why-you-should-use-netdata)
+- [How Netdata has complementary systems, not competitors](#how-netdata-has-complementary-systems-not-competitors)
+
+Let's get started!
+
+## Netdata's core features
+
+Netdata has only been around for a few years, but it's a complex piece of software. Here are just some of the features
+we'll cover throughout this guide.
+
+- A sophisticated **dashboard**, which we'll cover in [step 2](step-02.md). The real-time, highly-granular dashboard,
+ with hundreds of charts, is your main source of information about the health and performance of your systems/
+ applications. We designed the dashboard with anomaly detection and quick analysis in mind. We'll return to
+ dashboard-related topics in both [step 7](step-07.md) and [step 8](step-08.md).
+- **Long-term metrics storage** by default. With our new database engine, you can store days, weeks, or months of
+ per-second historical metrics. Or you can archive metrics to another database, like MongoDB or Prometheus. We'll
+ cover all these options in [step 9](step-09.md).
+- **No configuration necessary**. Without any configuration, you'll get thousands of real-time metrics and hundreds of
+ alarms designed by our community of sysadmin experts. But you _can_ configure Netdata in a lot of ways, some of
+ which we'll cover in [step 4](step-04.md).
+- **Distributed, per-system installation**. Instead of centralizing metrics in one location, you install Netdata on
+ _every_ system, and each system is responsible for its metrics. Having distributed agents reduces cost and lets
+ Netdata run on devices with little available resources, such as IoT and edge devices, without affecting their core
+ purpose.
+- **Sophisticated health monitoring** to ensure you always know when an anomaly hits. In [step 5](step-05.md), we dive
+ into how you can tune alarms, write your own alarm, and enable two types of notifications.
+- **High-speed, low-resource collectors** that allow you to collect thousands of metrics every second while using only
+ a fraction of your system's CPU resources and a few MiB of RAM.
+- **Netdata Cloud** is our SaaS toolkit that helps Netdata users monitor the health and performance of entire
+ infrastructures, whether they are two or two thousand (or more!) systems. We'll cover Netdata Cloud in [step
+ 3](step-03.md).
+
+## Why you should use Netdata
+
+Because you care about the health and performance of your systems and applications, and all of the awesome features we
+just mentioned. And it's free!
+
+All these may be valid reasons, but let's step back and talk about Netdata's _principles_ for health monitoring and
+performance troubleshooting. We have a lot of [complementary
+systems](#how-netdata-has-complementary-systems-not-competitors), and we think there's a good reason why Netdata should
+always be your first choice when troubleshooting an anomaly.
+
+We built Netdata on four principles.
+
+### Per-second data collection
+
+Our first principle is per-second data collection for all metrics.
+
+That matters because you can't monitor a 2-second service-level agreement (SLA) with 10-second metrics. You can't detect
+quick anomalies if your metrics don't show them.
+
+How do we solve this? By decentralizing monitoring. Each node is responsible for collecting metrics, triggering alarms,
+and building dashboards locally, and we work hard to ensure it does each step (and others) with remarkable efficiency.
+For example, Netdata can [collect 100,000 metrics](https://github.com/netdata/netdata/issues/1323) every second while
+using only 9% of a single server-grade CPU core!
+
+By decentralizing monitoring and emphasizing speed at every turn, Netdata helps you scale your health monitoring and
+performance troubleshooting to an infrastructure of every size. _And_ you get to keep per-second metrics in long-term
+storage thanks to the database engine.
+
+### Unlimited metrics
+
+We believe all metrics are fundamentally important, and all metrics should be available to the user.
+
+If you don't collect _all_ the metrics a system creates, you're only seeing part of the story. It's like saying you've
+read a book after skipping all but the last ten pages. You only know the ending, not everything that leads to it.
+
+Most monitoring solutions exist to poke you when there's a problem, and then tell you to use a dozen different console
+tools to find the root cause. Netdata prefers to give you every piece of information you might need to understand why an
+anomaly happened.
+
+### Meaningful presentation
+
+We want every piece of Netdata's dashboard not only to look good and update every second, but also provide context as to
+what you're looking at and why it matters.
+
+The principle of meaningful presentation is fundamental to our dashboard's user experience (UX). We could have put
+charts in a grid or hidden some behind tabs or buttons. We instead chose to stack them vertically, on a single page, so
+you can visually see how, for example, a jump in disk usage can also increase system load.
+
+Here's an example of a system undergoing a disk stress test:
+
+![Screen Shot 2019-10-23 at 15 38
+32](https://user-images.githubusercontent.com/1153921/67439589-7f920700-f5ab-11e9-930d-fb0014900d90.png)
+
+> For the curious, here's the command: `stress-ng --fallocate 4 --fallocate-bytes 4g --timeout 1m --metrics --verify
+> --times`!
+
+### Immediate results
+
+Finally, Netdata should be usable from the moment you install it.
+
+As we've talked about, and as you'll learn in the following nine steps, Netdata comes installed with:
+
+- Auto-detected metrics
+- Human-readable units
+- Metrics that are structured into charts, families, and contexts
+- Automatically generated dashboards
+- Charts designed for visual anomaly detection
+- Hundreds of pre-configured alarms
+
+By standardizing your monitoring infrastructure, Netdata tries to make at least one part of your administrative tasks
+easy!
+
+## How Netdata has complementary systems, not competitors
+
+We'll cover this quickly, as you're probably eager to get on with using Netdata itself.
+
+We don't want to lock you in to using Netdata by itself, and forever. By supporting [archiving to
+external databases](/exporting/README.md) like Graphite, Prometheus, OpenTSDB, MongoDB, and others, you can use Netdata _in
+conjunction_ with software that might seem like our competitors.
+
+We don't want to "wage war" with another monitoring solution, whether it's commercial, open-source, or anything in
+between. We just want to give you all the metrics every second, and what you do with them next is your business, not
+ours. Our mission is helping people create more extraordinary infrastructures!
+
+## What's next?
+
+We think it's imperative you understand why we built Netdata the way we did. But now that we have that behind us, let's
+get right into that dashboard you've heard so much about.
+
+[Next: Get to know Netdata's dashboard &rarr;](step-02.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-01&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-02.md b/docs/guides/step-by-step/step-02.md
new file mode 100644
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+<!--
+title: "Step 2. Get to know Netdata's dashboard"
+date: 2020-05-04
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-02.md
+-->
+
+# Step 2. Get to know Netdata's dashboard
+
+Welcome to Netdata proper! Now that you understand how Netdata works, how it's built, and why we built it, you can start
+working with the dashboard directly.
+
+This step-by-step guide assumes you've already installed Netdata on a system of yours. If you haven't yet, hop back over
+to ["step 0"](step-00.md#before-we-get-started) for information about our one-line installer script. Or, view the
+[installation docs](/packaging/installer/README.md) to learn more. Once you have Netdata installed, you can hop back
+over here and dig in.
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, you'll learn how to:
+
+- [Visit and explore the dashboard](#visit-and-explore-the-dashboard)
+- [Explore available charts using menus](#explore-available-charts-using-menus)
+- [Read the descriptions accompanying charts](#read-the-descriptions-accompanying-charts)
+- [Interact with charts](#interact-with-charts)
+- [See raised alarms and the alarm log](#see-raised-alarms-and-the-alarm-log)
+
+Let's get started!
+
+## Visit and explore the dashboard
+
+Netdata's dashboard is where you interact with your system's metrics. Time to open it up and start exploring. Open up
+your browser of choice.
+
+Open up your web browser of choice and navigate to `http://NODE:19999`, replacing `NODE` with the IP address or hostname
+of your Agent. If you're unsure, try `http://localhost:19999` first. Hit **Enter**. Welcome to Netdata!
+
+![Animated GIF of navigating to the
+dashboard](https://user-images.githubusercontent.com/1153921/80825153-abaec600-8b94-11ea-8b17-1b770a2abaa9.gif)
+
+> From here on out in this guide, we'll refer to the address you use to view your dashboard as `NODE`. Be sure to
+> replace it with either `localhost`, the IP address, or the hostname of your system.
+
+## Explore available charts using menus
+
+**Menus** are located on the right-hand side of the Netdata dashboard. You can use these to navigate to the
+charts you're interested in.
+
+![Animated GIF of using the menus and
+submenus](https://user-images.githubusercontent.com/1153921/80832425-7c528600-8ba1-11ea-8140-d0a17a62009b.gif)
+
+Netdata shows all its charts on a single page, so you can also scroll up and down using the mouse wheel, your
+touchscreen/touchpad, or the scrollbar.
+
+Both menus and the items displayed beneath them, called **submenus**, are populated automatically by Netdata based on
+what it's collecting. If you run Netdata on many different systems using different OS types or versions, the
+menus and submenus may look a little different for each one.
+
+To learn more about menus, see our documentation about [navigating the standard
+dashboard](/web/gui/README.md#metrics-menus).
+
+> ❗ By default, Netdata only creates and displays charts if the metrics are _not zero_. So, you may be missing some
+> charts, menus, and submenus if those charts have zero metrics. You can change this by changing the **Which dimensions
+> to show?** setting to **All**. In addition, if you start Netdata and immediately load the dashboard, not all
+> charts/menus/submenus may be displayed, as some collectors can take a while to initialize.
+
+## Read the descriptions accompanying charts
+
+Many charts come with a short description of what dimensions the chart is displaying and why they matter.
+
+For example, here's the description that accompanies the **swap** chart.
+
+![Screenshot of the swap
+description](https://user-images.githubusercontent.com/1153921/63452078-477b1600-c3fa-11e9-836b-2fc90fba8b4b.png)
+
+If you're new to health monitoring and performance troubleshooting, we recommend you spend some time reading these
+descriptions and learning more at the pages linked above.
+
+## Understand charts, dimensions, families, and contexts
+
+A **chart** is an interactive visualization of one or more collected/calculated metrics. You can see the name (also
+known as its unique ID) of a chart by looking at the top-left corner of a chart and finding the parenthesized text. On a
+Linux system, one of the first charts on the dashboard will be the system CPU chart, with the name `system.cpu`:
+
+![Screenshot of the system CPU chart in the Netdata
+dashboard](https://user-images.githubusercontent.com/1153921/67443082-43b16e80-f5b8-11e9-8d33-d6ee052c6678.png)
+
+A **dimension** is any value that gets shown on a chart. The value can be raw data or calculated values, such as
+percentages, aggregates, and more. Most charts will have more than one dimension, in which case it will display each in
+a different color. Here, a `system.cpu` chart is showing many dimensions, such as `user`, `system`, `softirq`, `irq`,
+and more.
+
+![Screenshot of the dimensions shown in the system CPU chart in the Netdata
+dashboard](https://user-images.githubusercontent.com/1153921/62721031-2bba4d80-b9c0-11e9-9dca-32403617ce72.png)
+
+A **family** is _one_ instance of a monitored hardware or software resource that needs to be monitored and displayed
+separately from similar instances. For example, if your system has multiple partitions, Netdata will create different
+families for `/`, `/boot`, `/home`, and so on. Same goes for entire disks, network devices, and more.
+
+![A number of families created for disk partitions](https://user-images.githubusercontent.com/1153921/67896952-a788e980-fb1a-11e9-880b-2dfb3945c8d6.png)
+
+A **context** groups several charts based on the types of metrics being collected and displayed. For example, the
+**Disk** section often has many contexts: `disk.io`, `disk.ops`, `disk.backlog`, `disk.util`, and so on. Netdata uses
+this context to create individual charts and then groups them by family. You can always see the context of any chart by
+looking at its name or hovering over the chart's date.
+
+It's important to understand these differences, as Netdata uses charts, dimensions, families, and contexts to create
+health alarms and configure collectors. To read even more about the differences between all these elements of the
+dashboard, and how they affect other parts of Netdata, read our [dashboards
+documentation](/web/README.md#charts-contexts-families).
+
+## Interact with charts
+
+We built Netdata to be a big sandbox for learning more about your systems and applications. Time to play!
+
+Netdata's charts are fully interactive. You can pan through historical metrics, zoom in and out, select specific
+timeframes for further analysis, resize charts, and more.
+
+Best of all, Whenever you use a chart in this way, Netdata synchronizes all the other charts to match it.
+
+![Animated GIF of the standard Netdata dashboard being manipulated and synchronizing
+charts](https://user-images.githubusercontent.com/1153921/81867875-3d6beb00-9526-11ea-94b8-388951e2e03d.gif)
+
+### Pan, zoom, highlight, and reset charts
+
+You can change how charts show their metrics in a few different ways, each of which have a few methods:
+
+| Change | Method #1 | Method #2 | Method #3 |
+| ------------------------------------------------- | ----------------------------------- | --------------------------------------------------------- | ---------------------------------------------------------- |
+| **Reset** charts to default auto-refreshing state | `double click` | `double tap` (touchpad/touchscreen) | |
+| **Select** a certain timeframe | `ALT` + `mouse selection` | `⌘` + `mouse selection` (macOS) | |
+| **Pan** forward or back in time | `click and drag` | `touch and drag` (touchpad/touchscreen) | |
+| **Zoom** to a specific timeframe | `SHIFT` + `mouse selection` | | |
+| **Zoom** in/out | `SHIFT`/`ALT` + `mouse scrollwheel` | `SHIFT`/`ALT` + `two-finger pinch` (touchpad/touchscreen) | `SHIFT`/`ALT` + `two-finger scroll` (touchpad/touchscreen) |
+
+These interactions can also be triggered using the icons on the bottom-right corner of every chart. They are,
+respectively, `Pan Left`, `Reset`, `Pan Right`, `Zoom In`, and `Zoom Out`.
+
+### Show and hide dimensions
+
+Each dimension can be hidden by clicking on it. Hiding dimensions simplifies the chart and can help you better discover
+exactly which aspect of your system is behaving strangely.
+
+### Resize charts
+
+Additionally, resize charts by clicking-and-dragging the icon on the bottom-right corner of any chart. To restore the
+chart to its original height, double-click the same icon.
+
+![Animated GIF of resizing a chart and resetting it to the default
+height](https://user-images.githubusercontent.com/1153921/80842459-7d41e280-8bb6-11ea-9488-1bc29f94d7f2.gif)
+
+To learn more about other options and chart interactivity, read our [dashboard documentation](/web/README.md).
+
+## See raised alarms and the alarm log
+
+Aside from performance troubleshooting, the Agent helps you monitor the health of your systems and applications. That's
+why every Netdata installation comes with dozens of pre-configured alarms that trigger alerts when your system starts
+acting strangely.
+
+Find the **Alarms** button in the top navigation bring up a modal that shows currently raised alarms, all running
+alarms, and the alarms log.
+
+Here is an example of a raised `system.cpu` alarm, followed by the full list and alarm log:
+
+![Animated GIF of looking at raised alarms and the alarm
+log](https://user-images.githubusercontent.com/1153921/80842482-8c289500-8bb6-11ea-9791-600cfdbe82ce.gif)
+
+And a static screenshot of the raised CPU alarm:
+
+![Screenshot of a raised system CPU alarm](https://user-images.githubusercontent.com/1153921/80842330-2dfbb200-8bb6-11ea-8147-3cd366eb0f37.png)
+
+The alarm itself is named *system - cpu**, and its context is `system.cpu`. Beneath that is an auto-updating badge that
+shows the latest value the chart that triggered the alarm.
+
+With the three icons beneath that and the **role** designation, you can:
+
+1. Scroll to the chart associated with this raised alarm.
+2. Copy a link to the badge to your clipboard.
+3. Copy the code to embed the badge onto another web page using an `<embed>` element.
+
+The table on the right-hand side displays information about the alarm's configuration. In above example, Netdata
+triggers a warning alarm when CPU usage is between 75 and 85%, and a critical alarm when above 85%. It's a _little_ more
+complicated than that, but we'll get into more complex health entity configurations in a later step.
+
+The `calculation` field is the equation used to calculate those percentages, and the `check every` field specifies how
+often Netdata should be calculating these metrics to see if the alarm should remain triggered.
+
+The `execute` field tells Netdata how to notify you about this alarm, and the `source` field lets you know where you can
+find the configuration file, if you'd like to edit its configuration.
+
+We'll cover alarm configuration in more detail later in the guide, so don't worry about it too much for now! Right
+now, it's most important that you understand how to see alarms, and parse their details, if and when they appear on your
+system.
+
+## What's next?
+
+In this step of the Netdata guide, you learned how to:
+
+- Visit the dashboard
+- Explore available charts (using the right-side menu)
+- Read the descriptions accompanying charts
+- Interact with charts
+- See raised alarms and the alarm log
+
+Next, you'll learn how to monitor multiple nodes through the dashboard.
+
+[Next: Monitor more than one system with Netdata →](step-03.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-02&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-03.md b/docs/guides/step-by-step/step-03.md
new file mode 100644
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@@ -0,0 +1,91 @@
+<!--
+title: "Step 3. Monitor more than one system with Netdata"
+date: 2020-05-01
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-03.md
+-->
+
+# Step 3. Monitor more than one system with Netdata
+
+The Netdata agent is _distributed_ by design. That means each agent operates independently from any other, collecting
+and creating charts only for the system you installed it on. We made this decision a long time ago to [improve security
+and performance](step-01.md).
+
+You might be thinking, "So, now I have to remember all these IP addresses, and type them into my browser
+manually, to move from one system to another? Maybe I should just make a bunch of bookmarks. What's a few more tabs
+on top of the hundred I have already?"
+
+We get it. That's why we built [Netdata Cloud](https://learn.netdata.cloud/docs/cloud/), which connects many distributed
+agents for a seamless experience when monitoring an entire infrastructure of Netdata-monitored nodes.
+
+![Animated GIF of Netdata
+Cloud](https://user-images.githubusercontent.com/1153921/80828986-1ebb3b00-8b9b-11ea-957f-2c8d0d009e44.gif)
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, we'll talk about the following:
+
+- [Why you should use Netdata Cloud](#why-use-netdata-cloud)
+- [Get started with Netdata Cloud](#get-started-with-netdata-cloud)
+- [Navigate between dashboards with Visited Nodes](#navigate-between-dashboards-with-visited-nodes)
+
+## Why use Netdata Cloud?
+
+Our [Cloud documentation](https://learn.netdata.cloud/docs/cloud/) does a good job (we think!) of explaining why Cloud
+gives you a ton of value at no cost:
+
+> Netdata Cloud gives you real-time visibility for your entire infrastructure. With Netdata Cloud, you can run all your
+> distributed Agents in headless mode _and_ access the real-time metrics and insightful charts from their dashboards.
+> View key metrics and active alarms at-a-glance, and then seamlessly dive into any of your distributed dashboards
+> without leaving Cloud's centralized interface.
+
+You can add as many nodes and team members as you need, and as our free and open source Agent gets better with more
+features, new collectors for more applications, and improved UI, so will Cloud.
+
+## Get started with Netdata Cloud
+
+Signing in, onboarding, and claiming your first nodes only takes a few minutes, and we have a [Get started with
+Cloud](https://learn.netdata.cloud/docs/cloud/get-started) guide to help you walk through every step.
+
+Or, if you're feeling confident, dive right in.
+
+<p><a href="https://app.netdata.cloud" className="button button--lg">Sign in to Cloud</a></p>
+
+When you finish that guide, circle back to this step in the guide to learn how to use the Visited Nodes feature on
+top of Cloud's centralized web interface.
+
+## Navigate between dashboards with Visited Nodes
+
+To add nodes to your visited nodes, you first need to navigate to that node's dashboard, then click the **Sign in**
+button at the top of the dashboard. On the screen that appears, which states your node is requesting access to your
+Netdata Cloud account, sign in with your preferred method.
+
+Cloud redirects you back to your node's dashboard, which is now connected to your Netdata Cloud account. You can now see the menu populated by a single visited node.
+
+![An Agent's dashboard with the Visited nodes
+menu](https://user-images.githubusercontent.com/1153921/80830383-b6ba2400-8b9d-11ea-9eb2-379c7eccd22f.png)
+
+If you previously went through the Cloud onboarding process to create a Space and War Room, you will also see these
+alongside your visited nodes. You can click on your Space or any of your War Rooms to navigate to Netdata Cloud and
+continue monitoring your infrastructure from there.
+
+![A Agent's dashboard with the Visited nodes menu, plus Spaces and War
+Rooms](https://user-images.githubusercontent.com/1153921/80830382-b6218d80-8b9d-11ea-869c-1170b95eeb4a.png)
+
+To add other visited nodes, navigate to their dashboard and sign in to Cloud by clicking on the **Sign in** button. This
+process connects that node to your Cloud account and further populates the menu.
+
+Once you've added more than one node, you can use the menu to switch between various dashboards without remembering IP
+addresses or hostnames or saving bookmarks for every node you want to monitor.
+
+![Switching between dashboards with Visited
+nodes](https://user-images.githubusercontent.com/1153921/80831018-e158ac80-8b9e-11ea-882e-1d82cdc028cd.gif)
+
+## What's next?
+
+Now that you have a Netdata Cloud account with a claimed node (or a few!) and can navigate between your dashboards with
+Visited nodes, it's time to learn more about how you can configure Netdata to your liking. From there, you'll be able to
+customize your Netdata experience to your exact infrastructure and the information you need.
+
+[Next: The basics of configuring Netdata &rarr;](step-04.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-03&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-04.md b/docs/guides/step-by-step/step-04.md
new file mode 100644
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@@ -0,0 +1,144 @@
+<!--
+title: "Step 4. The basics of configuring Netdata"
+date: 2020-03-31
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-04.md
+-->
+
+# Step 4. The basics of configuring Netdata
+
+Welcome to the fourth step of the Netdata guide.
+
+Since the beginning, we've covered the building blocks of Netdata, dashboard basics, and how you can monitor many
+individual systems using many distributed Netdata agents.
+
+Next up: configuration.
+
+## What you'll learn in this step
+
+We'll talk about Netdata's default configuration, and then you'll learn how to do the following:
+
+- [Find your `netdata.conf` file](#find-your-netdataconf-file)
+- [Use edit-config to open `netdata.conf`](#use-edit-config-to-open-netdataconf)
+- [Navigate the structure of `netdata.conf`](#the-structure-of-netdataconf)
+- [Edit your `netdata.conf` file](#edit-your-netdataconf-file)
+
+## Find your `netdata.conf` file
+
+Netdata primarily uses the `netdata.conf` file to configure its core functionality. `netdata.conf` resides within your
+**Netdata config directory**.
+
+The location of that directory and `netdata.conf` depends on your operating system and the method you used to install
+Netdata.
+
+The most reliable method of finding your Netdata config directory is loading your `netdata.conf` on your browser. Open a
+tab and navigate to `http://HOST:19999/netdata.conf`. Your browser will load a text document that looks like this:
+
+![A netdata.conf file opened in the
+browser](https://user-images.githubusercontent.com/1153921/68346763-344f1c80-00b2-11ea-9d1d-0ccac74d5558.png)
+
+Look for the line that begins with `# config directory = `. The text after that will be the path to your Netdata config
+directory.
+
+In the system represented by the screenshot, the line reads: `config directory = /etc/netdata`. That means
+`netdata.conf`, and all the other configuration files, can be found at `/etc/netdata`.
+
+> For more details on where your Netdata config directory is, take a look at our [installation
+> instructions](/packaging/installer/README.md).
+
+For the rest of this guide, we'll assume you're editing files or running scripts from _within_ your **Netdata
+configuration directory**.
+
+## Use edit-config to open `netdata.conf`
+
+Inside your Netdata config directory, there is a helper scripted called `edit-config`. This script will open existing
+Netdata configuration files using a text editor. Or, if the configuration file doesn't yet exist, the script will copy
+an example file to your Netdata config directory and then allow you to edit it before saving it.
+
+> `edit-config` will use the `EDITOR` environment variable on your system to edit the file. On many systems, that is
+> defaulted to `vim` or `nano`. We highly recommend `nano` for beginners. To change this variable for the current
+> session (it will revert to the default when you reboot), export a new value: `export EDITOR=nano`. Or, [make the
+> change permanent](https://stackoverflow.com/questions/13046624/how-to-permanently-export-a-variable-in-linux).
+
+Let's give it a shot. Navigate to your Netdata config directory. To use `edit-config` on `netdata.conf`, you need to
+have permissions to edit the file. On Linux/macOS systems, you can usually use `sudo` to elevate your permissions.
+
+```bash
+cd /etc/netdata # Replace this path with your Netdata config directory, if different as found in the steps above
+sudo ./edit-config netdata.conf
+```
+
+You should now see `netdata.conf` your editor! Let's walk through how the file is structured.
+
+## The structure of `netdata.conf`
+
+There are two main parts of the file to note: **sections** and **options**.
+
+The `netdata.conf` file is broken up into various **sections**, such as `[global]`, `[web]`, and `[registry]`. Each
+section contains the configuration options for some core component of Netdata.
+
+Each section also contains many **options**. Options have a name and a value. With the option `config directory =
+/etc/netdata`, `config directory` is the name, and `/etc/netdata` is the value.
+
+Most lines are **commented**, in that they start with a hash symbol (`#`), and the value is set to a sane default. To
+tell Netdata that you'd like to change any option from its default value, you must **uncomment** it by removing that
+hash.
+
+### Edit your `netdata.conf` file
+
+Let's try editing the options in `netdata.conf` to see how the process works.
+
+First, add a fake option to show you how Netdata loads its configuration files. Add a `test` option under the `[global]`
+section and give it the value of `1`.
+
+```conf
+[global]
+ test = 1
+```
+
+Restart Netdata with `service restart netdata` or the [appropriate
+alternative](/docs/getting-started.md#start-stop-and-restart-netdata) for your system.
+
+Now, open up your browser and navigate to `http://HOST:19999/netdata.conf`. You'll see that Netdata has recognized
+that our fake option isn't valid and added a notice that Netdata will ignore it.
+
+Here's the process in GIF form!
+
+![Animated GIF of creating a fake option in
+netdata.conf](https://user-images.githubusercontent.com/1153921/65470254-4422e200-de1f-11e9-9597-a97c89ee59b8.gif)
+
+Now, let's make a slightly more substantial edit to `netdata.conf`: change the Agent's name.
+
+If you edit the value of the `hostname` option, you can change the name of your Netdata Agent on the dashboard and a
+handful of other places, like the Visited nodes menu _and_ Netdata Cloud.
+
+Use `edit-config` to change the `hostname` option to a name like `hello-world`. Be sure to uncomment it!
+
+```conf
+[global]
+ hostname = hello-world
+```
+
+Once you're done, restart Netdata and refresh the dashboard. Say hello to your renamed agent!
+
+![Animated GIF of editing the hostname option in
+netdata.conf](https://user-images.githubusercontent.com/1153921/80994808-1c065300-8df2-11ea-81af-d28dc3ba27c8.gif)
+
+Netdata has dozens upon dozens of options you can change. To see them all, read our [daemon
+configuration](/daemon/config/README.md), or hop into our popular guide on [increasing long-term metrics
+storage](/docs/guides/longer-metrics-storage.md).
+
+## What's next?
+
+At this point, you should be comfortable with getting to your Netdata directory, opening and editing `netdata.conf`, and
+seeing your changes reflected in the dashboard.
+
+Netdata has many more configuration files that you might want to change, but we'll cover those in the following steps of
+this guide.
+
+In the next step, we're going to cover one of Netdata's core functions: monitoring the health of your systems via alarms
+and notifications. You'll learn how to disable alarms, create new ones, and push notifications to the system of your
+choosing.
+
+[Next: Health monitoring alarms and notifications &rarr;](step-05.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-04&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-05.md b/docs/guides/step-by-step/step-05.md
new file mode 100644
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+<!--
+title: "Step 5. Health monitoring alarms and notifications"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-05.md
+-->
+
+# Step 5. Health monitoring alarms and notifications
+
+In the fifth step of the Netdata guide, we're introducing you to one of our core features: **health monitoring**.
+
+To accurately monitor the health of your systems and applications, you need to know _immediately_ when there's something
+strange going on. Netdata's alarm and notification systems are essential to keeping you informed.
+
+Netdata comes with hundreds of pre-configured alarms that don't require configuration. They were designed by our
+community of system administrators to cover the most important parts of production systems, so, in many cases, you won't
+need to edit them.
+
+Luckily, Netdata's alarm and notification system are incredibly adaptable to your infrastructure's unique needs.
+
+## What you'll learn in this step
+
+We'll talk about Netdata's default configuration, and then you'll learn how to do the following:
+
+- [Tune Netdata's pre-configured alarms](#tune-netdatas-pre-configured-alarms)
+- [Write your first health entity](#write-your-first-health-entity)
+- [Enable Netdata's notification systems](#enable-netdatas-notification-systems)
+
+## Tune Netdata's pre-configured alarms
+
+First, let's tune an alarm that came pre-configured with your Netdata installation.
+
+The first chart you see on any Netdata dashboard is the `system.cpu` chart, which shows the system's CPU utilization
+across all cores. To figure out which file you need to edit to tune this alarm, click the **Alarms** button at the top
+of the dashboard, click on the **All** tab, and find the **system - cpu** alarm entity.
+
+![The system - cpu alarm
+entity](https://user-images.githubusercontent.com/1153921/67034648-ebb4cc80-f0cc-11e9-9d49-1023629924f5.png)
+
+Look at the `source` row in the table. This means the `system.cpu` chart sources its health alarms from
+`4@/usr/lib/netdata/conf.d/health.d/cpu.conf`. To tune these alarms, you'll need to edit the alarm file at
+`health.d/cpu.conf`. Go to your [Netdata config directory](step-04.md#find-your-netdataconf-file) and use the
+`edit-config` script.
+
+```bash
+sudo ./edit-config health.d/cpu.conf
+```
+
+The first **health entity** in that file looks like this:
+
+```yaml
+template: 10min_cpu_usage
+ on: system.cpu
+ os: linux
+ hosts: *
+ lookup: average -10m unaligned of user,system,softirq,irq,guest
+ units: %
+ every: 1m
+ warn: $this > (($status >= $WARNING) ? (75) : (85))
+ crit: $this > (($status == $CRITICAL) ? (85) : (95))
+ delay: down 15m multiplier 1.5 max 1h
+ info: average cpu utilization for the last 10 minutes (excluding iowait, nice and steal)
+ to: sysadmin
+```
+
+Let's say you want to tune this alarm to trigger warning and critical alarms at a lower CPU utilization. You can change
+the `warn` and `crit` lines to the values of your choosing. For example:
+
+```yaml
+ warn: $this > (($status >= $WARNING) ? (60) : (75))
+ crit: $this > (($status == $CRITICAL) ? (75) : (85))
+```
+
+You _can_ [restart Netdata](/docs/getting-started.md#start-stop-and-restart-netdata) to enable your tune, but you can
+also reload _only_ the health monitoring component using one of the available [methods](/health/QUICKSTART.md#reload-health-configuration).
+
+You can also tune any other aspect of the default alarms. To better understand how each line in a health entity works,
+read our [health documentation](/health/README.md).
+
+### Silence an individual alarm
+
+Many Netdata users don't need all the default alarms enabled. Instead of disabling any given alarm, or even _all_
+alarms, you can silence individual alarms by changing one line in a given health entity. Let's look at that
+`health/cpu.conf` file again.
+
+```yaml
+template: 10min_cpu_usage
+ on: system.cpu
+ os: linux
+ hosts: *
+ lookup: average -10m unaligned of user,system,softirq,irq,guest
+ units: %
+ every: 1m
+ warn: $this > (($status >= $WARNING) ? (75) : (85))
+ crit: $this > (($status == $CRITICAL) ? (85) : (95))
+ delay: down 15m multiplier 1.5 max 1h
+ info: average cpu utilization for the last 10 minutes (excluding iowait, nice and steal)
+ to: sysadmin
+```
+
+To silence this alarm, change `sysadmin` to `silent`.
+
+```yaml
+ to: silent
+```
+
+Use `netdatacli reload-health` to reload your health configuration. You can add `to: silent` to any alarm you'd rather not
+bother you with notifications.
+
+## Write your first health entity
+
+The best way to understand how health entities work is building your own and experimenting with the options. To start,
+let's build a health entity that triggers an alarm when system RAM usage goes above 80%.
+
+The first line in a health entity will be `alarm:`. This is how you name your entity. You can give it any name you
+choose, but the only symbols allowed are `.` and `_`. Let's call the alarm `ram_usage`.
+
+```yaml
+ alarm: ram_usage
+```
+
+> You'll see some funky indentation in the lines coming up. Don't worry about it too much! Indentation is not important
+> to how Netdata processes entities, and it will make sense when you're done.
+
+Next, you need to specify which chart this entity listens via the `on:` line. You're declaring that you want this alarm
+to check metrics on the `system.ram` chart.
+
+```yaml
+ on: system.ram
+```
+
+Now comes the `lookup`. This line specifies what metrics the alarm is looking for, what duration of time it's looking
+at, and how to process the metrics into a more usable format.
+
+```yaml
+lookup: average -1m percentage of used
+```
+
+Let's take a moment to break this line down.
+
+- `average`: Calculate the average of all the metrics collected.
+- `-1m`: Use metrics from 1 minute ago until now to calculate that average.
+- `percentage`: Clarify that you want to calculate a percentage of RAM usage.
+- `of used`: Specify which dimension (`used`) on the `system.ram` chart you want to monitor with this entity.
+
+In other words, you're taking 1 minute's worth of metrics from the `used` dimension on the `system.ram` chart,
+calculating their average, and returning it as a percentage.
+
+You can move on to the `units` line, which lets Netdata know that we're working with a percentage and not an absolute
+unit.
+
+```yaml
+ units: %
+```
+
+Next, the `every` line tells Netdata how often to perform the calculation you specified in the `lookup` line. For
+certain alarms, you might want to use a shorter duration, which you can specify using values like `10s`.
+
+```yaml
+ every: 1m
+```
+
+We'll put the next two lines—`warn` and `crit`—together. In these lines, you declare at which percentage you want to
+trigger a warning or critical alarm. Notice the variable `$this`, which is the value calculated by the `lookup` line.
+These lines will trigger a warning if that average RAM usage goes above 80%, and a critical alert if it's above 90%.
+
+```yaml
+ warn: $this > 80
+ crit: $this > 90
+```
+
+> ❗ Most default Netdata alarms come with more complicated `warn` and `crit` lines. You may have noticed the line `warn:
+> $this > (($status >= $WARNING) ? (75) : (85))` in one of the health entity examples above, which is an example of
+> using the [conditional operator for hysteresis](/health/REFERENCE.md#special-use-of-the-conditional-operator).
+> Hysteresis is used to keep Netdata from triggering a ton of alerts if the metric being tracked quickly goes above and
+> then falls below the threshold. For this very simple example, we'll skip hysteresis, but recommend implementing it in
+> your future health entities.
+
+Finish off with the `info` line, which creates a description of the alarm that will then appear in any
+[notification](#enable-netdatas-notification-systems) you set up. This line is optional, but it has value—think of it as
+documentation for a health entity!
+
+```yaml
+ info: The percentage of RAM being used by the system.
+```
+
+Here's what the entity looks like in full. Now you can see why we indented the lines, too.
+
+```yaml
+ alarm: ram_usage
+ on: system.ram
+lookup: average -1m percentage of used
+ units: %
+ every: 1m
+ warn: $this > 80
+ crit: $this > 90
+ info: The percentage of RAM being used by the system.
+```
+
+What about what it looks like on the Netdata dashboard?
+
+![An active alert for the ram_usage alarm](https://user-images.githubusercontent.com/1153921/67056219-f89ee380-f0ff-11e9-8842-7dc210dd2908.png)
+
+If you'd like to try this alarm on your system, you can install a small program called
+[stress](http://manpages.ubuntu.com/manpages/disco/en/man1/stress.1.html) to create a synthetic load. Use the command
+below, and change the `8G` value to a number that's appropriate for the amount of RAM on your system.
+
+```bash
+stress -m 1 --vm-bytes 8G --vm-keep
+```
+
+Netdata is capable of understanding much more complicated entities. To better understand how they work, read the [health
+documentation](/health/README.md), look at some [examples](/health/REFERENCE.md#example-alarms), and open the files
+containing the default entities on your system.
+
+## Enable Netdata's notification systems
+
+Health alarms, while great on their own, are pretty useless without some way of you knowing they've been triggered.
+That's why Netdata comes with a notification system that supports more than a dozen services, such as email, Slack,
+Discord, PagerDuty, Twilio, Amazon SNS, and much more.
+
+To see all the supported systems, visit our [notifications documentation](/health/notifications/).
+
+We'll cover email and Slack notifications here, but with this knowledge you should be able to enable any other type of
+notifications instead of or in addition to these.
+
+### Email notifications
+
+To use email notifications, you need `sendmail` or an equivalent installed on your system. Linux systems use `sendmail`
+or similar programs to, unsurprisingly, send emails to any inbox.
+
+> Learn more about `sendmail` via its [documentation](http://www.postfix.org/sendmail.1.html).
+
+Edit the `health_alarm_notify.conf` file, which resides in your Netdata directory.
+
+```bash
+sudo ./edit-config health_alarm_notify.conf
+```
+
+Look for the following lines:
+
+```conf
+# if a role recipient is not configured, an email will be send to:
+DEFAULT_RECIPIENT_EMAIL="root"
+# to receive only critical alarms, set it to "root|critical"
+```
+
+Change the value of `DEFAULT_RECIPIENT_EMAIL` to the email address at which you'd like to receive notifications.
+
+```conf
+# if a role recipient is not configured, an email will be sent to:
+DEFAULT_RECIPIENT_EMAIL="me@example.com"
+# to receive only critical alarms, set it to "root|critical"
+```
+
+Test email notifications system by first becoming the Netdata user and then asking Netdata to send a test alarm:
+
+```bash
+sudo su -s /bin/bash netdata
+/usr/libexec/netdata/plugins.d/alarm-notify.sh test
+```
+
+You should see output similar to this:
+
+```bash
+# SENDING TEST WARNING ALARM TO ROLE: sysadmin
+2019-10-17 18:23:38: alarm-notify.sh: INFO: sent email notification for: hostname test.chart.test_alarm is WARNING to 'me@example.com'
+# OK
+
+# SENDING TEST CRITICAL ALARM TO ROLE: sysadmin
+2019-10-17 18:23:38: alarm-notify.sh: INFO: sent email notification for: hostname test.chart.test_alarm is CRITICAL to 'me@example.com'
+# OK
+
+# SENDING TEST CLEAR ALARM TO ROLE: sysadmin
+2019-10-17 18:23:39: alarm-notify.sh: INFO: sent email notification for: hostname test.chart.test_alarm is CLEAR to 'me@example.com'
+# OK
+```
+
+... and you should get three separate emails, one for each test alarm, in your inbox! (Be sure to check your spam
+folder.)
+
+## Enable Slack notifications
+
+If you're one of the many who spend their workday getting pinged with GIFs by your colleagues, why not add Netdata
+notifications to the mix? It's a great way to immediately see, collaborate around, and respond to anomalies in your
+infrastructure.
+
+To get Slack notifications working, you first need to add an [incoming
+webhook](https://slack.com/apps/A0F7XDUAZ-incoming-webhooks) to the channel of your choice. Click the green **Add to
+Slack** button, choose the channel, and click the **Add Incoming WebHooks Integration** button.
+
+On the following page, you'll receive a **Webhook URL**. That's what you'll need to configure Netdata, so keep it handy.
+
+Time to dive back into your `health_alarm_notify.conf` file:
+
+```bash
+sudo ./edit-config health_alarm_notify.conf
+```
+
+Look for the `SLACK_WEBHOOK_URL=" "` line and add the incoming webhook URL you got from Slack:
+
+```conf
+SLACK_WEBHOOK_URL="https://hooks.slack.com/services/XXXXXXXXX/XXXXXXXXX/XXXXXXXXXXXX"
+```
+
+A few lines down, edit the `DEFAULT_RECIPIENT_SLACK` line to contain a single hash `#` character. This instructs Netdata
+to send a notification to the channel you configured with the incoming webhook.
+
+```conf
+DEFAULT_RECIPIENT_SLACK="#"
+```
+
+Time to test the notifications again!
+
+```bash
+sudo su -s /bin/bash netdata
+/usr/libexec/netdata/plugins.d/alarm-notify.sh test
+```
+
+You should receive three notifications in your Slack channel.
+
+Congratulations! You're set up with two awesome ways to get notified about any change in the health of your systems or
+applications.
+
+To further configure your email or Slack notification setup, or to enable other notification systems, check out the
+following documentation:
+
+- [Email notifications](/health/notifications/email/README.md)
+- [Slack notifications](/health/notifications/slack/README.md)
+- [Netdata's notification system](/health/notifications/README.md)
+
+## What's next?
+
+In this step, you learned the fundamentals of Netdata's health monitoring tools: alarms and notifications. You should be
+able to tune default alarms, silence them, and understand some of the basics of writing health entities. And, if you so
+chose, you'll now have both email and Slack notifications enabled.
+
+You're coming along quick!
+
+Next up, we're going to cover how Netdata collects its metrics, and how you can get Netdata to collect real-time metrics
+from hundreds of services with almost no configuration on your part. Onward!
+
+[Next: Collect metrics from more services and apps &rarr;](step-06.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-05&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-06.md b/docs/guides/step-by-step/step-06.md
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+<!--
+title: "Step 6. Collect metrics from more services and apps"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/guides/docs/step-by-step/step-06.md
+-->
+
+# Step 6. Collect metrics from more services and apps
+
+When Netdata _starts_, it auto-detects dozens of **data sources**, such as database servers, web servers, and more.
+
+To auto-detect and collect metrics from a source you just installed, you need to [restart
+Netdata](/docs/getting-started.md#start-stop-and-restart-netdata).
+
+However, auto-detection only works if you installed the source using its standard installation
+procedure. If Netdata isn't collecting metrics after a restart, your source probably isn't configured
+correctly.
+
+Check out the [collectors that come pre-installed with Netdata](/collectors/COLLECTORS.md) to find the module for the
+source you want to monitor.
+
+## What you'll learn in this step
+
+We'll begin with an overview on Netdata's collector architecture, and then dive into the following:
+
+- [Netdata's collector architecture](#netdatas-collector-architecture)
+- [Enable and disable plugins](#enable-and-disable-plugins)
+- [Enable the Nginx collector as an example](#example-enable-the-nginx-collector)
+
+## Netdata's collector architecture
+
+Many Netdata users never have to configure collector or worry about which plugin orchestrator they want to use.
+
+But, if you want to configure collector or write a collector for your custom source, it's important to understand the
+underlying architecture.
+
+By default, Netdata collects a lot of metrics every second using any number of discrete collector. Collectors, in turn,
+are organized and manged by plugins. **Internal** plugins collect system metrics, **external** plugins collect
+non-system metrics, and **orchestrator** plugins group individual collectors together based on the programming language
+they were built in.
+
+These modules are primarily written in [Go](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/) (`go.d`) and
+[Python](/collectors/python.d.plugin/README.md), although some use [Bash](/collectors/charts.d.plugin/README.md)
+(`charts.d`) or [Node.js](/collectors/node.d.plugin/README.md) (`node.d`).
+
+## Enable and disable plugins
+
+You don't need to explicitly enable plugins to auto-detect properly configured sources, but it's useful to know how to
+enable or disable them.
+
+One reason you might want to _disable_ plugins is to improve Netdata's performance on low-resource systems, like
+ephemeral nodes or edge devices. Disabling orchestrator plugins like `python.d` can save significant resources if you're
+not using any of its data collector modules.
+
+You can enable or disable plugins in the `[plugin]` section of `netdata.conf`. This section features a list of all the
+plugins with a boolean setting (`yes` or `no`) to enable or disable them. Be sure to uncomment the line by removing the
+hash (`#`)!
+
+Enabled:
+
+```conf
+[plugins]
+ # node.d = yes
+```
+
+Disabled:
+
+```conf
+[plugins]
+ node.d = no
+```
+
+When you explicitly disable a plugin this way, it won't auto-collect metrics using its collectors.
+
+## Example: Enable the Nginx collector
+
+To help explain how the auto-detection process works, let's use an Nginx web server as an example.
+
+Even if you don't have Nginx installed on your system, we recommend you read through the following section so you can
+apply the process to other data sources, such as Apache, Redis, Memcached, and more.
+
+The Nginx collector, which helps Netdata collect metrics from a running Nginx web server, is part of the
+`python.d.plugin` external plugin _orchestrator_.
+
+In order for Netdata to auto-detect an Nginx web server, you need to enable `ngx_http_stub_status_module` and pass the
+`stub_status` directive in the `location` block of your Nginx configuration file.
+
+You can confirm if the `stub_status` Nginx module is already enabled or not by using following command:
+
+```sh
+nginx -V 2>&1 | grep -o with-http_stub_status_module
+```
+
+If this command returns nothing, you'll need to [enable this module](https://www.nginx.com/blog/monitoring-nginx/).
+
+Next, edit your `/etc/nginx/sites-enabled/default` file to include a `location` block with the following:
+
+```conf
+ location /stub_status {
+ stub_status;
+ }
+```
+
+Restart Netdata using `service netdata restart` or the [correct
+alternative](/docs/getting-started.md#start-stop-and-restart-netdata) for your system, and Netdata will auto-detect
+metrics from your Nginx web server!
+
+While not necessary for most auto-detection and collection purposes, you can also configure the Nginx collector itself
+by editing its configuration file:
+
+```sh
+./edit-config python.d/nginx.conf
+```
+
+After configuring any source, or changing the configuration files for their respective modules, always restart Netdata.
+
+## What's next?
+
+Now that you've learned the fundamentals behind configuring data sources for auto-detection, it's time to move back to
+the dashboard to learn more about some of its more advanced features.
+
+[Next: Netdata's dashboard in depth &rarr;](step-07.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-06&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-07.md b/docs/guides/step-by-step/step-07.md
new file mode 100644
index 000000000..f2f665575
--- /dev/null
+++ b/docs/guides/step-by-step/step-07.md
@@ -0,0 +1,114 @@
+<!--
+title: "Step 7. Netdata's dashboard in depth"
+date: 2020-05-04
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-07.md
+-->
+
+# Step 7. Netdata's dashboard in depth
+
+Welcome to the seventh step of the Netdata guide!
+
+This step of the guide aims to get you more familiar with the features of the dashboard not previously mentioned in
+[step 2](/docs/guides/step-by-step/step-02.md).
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, you'll learn how to:
+
+- [Change the dashboard's settings](#change-the-dashboards-settings)
+- [Check if there's an update to Netdata](#check-if-theres-an-update-to-netdata)
+- [Export and import a snapshot](#export-and-import-a-snapshot)
+
+Let's get started!
+
+## Change the dashboard's settings
+
+The settings area at the top of your Netdata dashboard houses browser settings. These settings do not affect the
+operation of your Netdata server/daemon. They take effect immediately and are permanently saved to browser local storage
+(except the refresh on focus / always option).
+
+You can see the **Performance**, **Synchronization**, **Visual**, and **Locale** tabs on the dashboard settings modal.
+
+![Animated GIF of opening the settings
+modal](https://user-images.githubusercontent.com/1153921/80841197-c93f5800-8bb3-11ea-907d-85bfe23565e1.gif)
+
+To change any setting, click on the toggle button. We recommend you spend some time reading the descriptions for each setting to understand them before making changes.
+
+Pay particular attention to the following settings, as they have dramatic impacts on the performance and appearance of
+your Netdata dashboard:
+
+- When to refresh the charts?
+- How to handle hidden charts?
+- Which chart refresh policy to use?
+- Which theme to use?
+- Do you need help?
+
+Some settings are applied immediately, and others are only reflected after you refresh the page.
+
+## Check if there's an update to Netdata
+
+You can always check if there is an update available from the **Update** area of your Netdata dashboard.
+
+![Opening the Agent's Update modal](https://user-images.githubusercontent.com/1153921/80829493-1adbe880-8b9c-11ea-9770-cc3b23a89414.gif)
+
+If an update is available, you'll see a modal similar to the one above.
+
+When you use the [automatic one-line installer script](/packaging/installer/README.md) attempt to update every day. If
+you choose to update it manually, there are [several well-documented methods](/packaging/installer/UPDATE.md) to achieve
+that. However, it is best practice for you to first go over the [changelog](/CHANGELOG.md).
+
+## Export and import a snapshot
+
+Netdata can export and import snapshots of the contents of your dashboard at a given time. Any Netdata agent can import
+a snapshot created by any other Netdata agent.
+
+Snapshot files include all the information of the dashboard, including the URL of the origin server, its unique ID, and
+chart data queries for the visible timeframe. While snapshots are not in real-time, and thus won't update with new
+metrics, you can still pan, zoom, and highlight charts as you see fit.
+
+Snapshots can be incredibly useful for diagnosing anomalies after they've already happened. Let's say Netdata triggered
+an alarm while you were sleeping. In the morning, you can look up the exact moment the alarm was raised, export a
+snapshot, and send it to a colleague for further analysis.
+
+> ❗ Know how you shouldn't go around downloading software from suspicious-looking websites? Same policy goes for loading
+> snapshots from untrusted or anonymous sources. Importing a snapshot loads quite a bit of data into your web browser,
+> and so you should always err on the side of protecting your system.
+
+To export a snapshot, click on the **export** icon.
+
+![Animated GIF of opening the export
+modal](https://user-images.githubusercontent.com/1153921/80993197-82d63d00-8def-11ea-88fa-98827814e930.gif)
+
+Edit the snapshot file name and select your desired compression method. Click on **Export**.
+
+When the export is complete, your browser will prompt you to save the `.snapshot` file to your machine. You can now
+share this file with any other Netdata user via email, Slack, or even to help describe your Netdata experience when
+[filing an issue](https://github.com/netdata/netdata/issues/new/choose) on GitHub.
+
+To import a snapshot, click on the **import** icon.
+
+![Animated GIF of opening the import
+modal](https://user-images.githubusercontent.com/12263278/64901503-ee696f80-d691-11e9-9678-8d0e2a162402.gif)
+
+Select the Netdata snapshot file to import. Once the file is loaded, the dashboard will update with critical information
+about the snapshot and the system from which it was taken. Click **import** to render it.
+
+Your Netdata dashboard will load data contained in the snapshot into charts. Because the snapshot only covers a certain
+period, it won't update with new metrics.
+
+An imported snapshot is also temporary. If you reload your browser tab, Netdata will remove the snapshot data and
+restore your real-time dashboard for your machine.
+
+## What's next?
+
+In this step of the Netdata guide, you learned how to:
+
+- Change the dashboard's settings
+- Check if there's an update to Netdata
+- Export or import a snapshot
+
+Next, you'll learn how to build your first custom dashboard!
+
+[Next: Build your first custom dashboard &rarr;](step-08.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-07&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-08.md b/docs/guides/step-by-step/step-08.md
new file mode 100644
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+<!--
+title: "Step 8. Build your first custom dashboard"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-08.md
+-->
+
+# Step 8. Build your first custom dashboard
+
+In previous steps of the guide, you have learned how several sections of the Netdata dashboard worked.
+
+This step will show you how to set up a custom dashboard to fit your unique needs. If nothing else, Netdata is really,
+really flexible. 🤸
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, you'll learn:
+
+- [Why you might want a custom dashboard](#why-should-i-create-a-custom-dashboard)
+- [How to create and prepare your `custom-dashboard.html` file](#create-and-prepare-your-custom-dashboardhtml-file)
+- [Where to add `dashboard.js` to your custom dashboard file](#add-dashboardjs-to-your-custom-dashboard-file)
+- [How to add basic styling](#add-some-basic-styling)
+- [How to add charts of different types, shapes, and sizes](#creating-your-dashboards-charts)
+
+Let's get on with it!
+
+## Why should I create a custom dashboard?
+
+Because it's cool!
+
+But there are way more reasons than that, most of which will prove more valuable to you.
+
+You could use custom dashboards to aggregate real-time data from multiple Netdata agents in one place. Or, you could put
+all the charts with metrics collected from your custom application via `statsd` and perform application performance
+monitoring from a single dashboard. You could even use a custom dashboard and a standalone web server to create an
+enriched public status page for your service, and give your users something fun to look at while they're waiting for the
+503 errors to clear up!
+
+Netdata's custom dashboarding capability is meant to be as flexible as your ideas. We hope you can take these
+fundamental ideas and turn them into something amazing.
+
+## Create and prepare your `custom-dashboard.html` file
+
+By default, Netdata stores its web server files at `/usr/share/netdata/web`. As with finding the location of your
+`netdata.conf` file, you can double-check this location by loading up `http://HOST:19999/netdata.conf` in your browser
+and finding the value of the `web files directory` option.
+
+To create your custom dashboard, create a file at `/usr/share/netdata/web/custom-dashboard.html` and copy in the
+following:
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <title>My custom dashboard</title>
+
+ <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+ <meta charset="utf-8">
+ <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
+ <meta name="viewport" content="width=device-width, initial-scale=1">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
+
+ <!-- Add dashboard.js here! -->
+
+</head>
+<body>
+
+ <main class="container">
+
+ <h1>My custom dashboard</h1>
+
+ <!-- Add charts here! -->
+
+ </main>
+
+</body>
+</html>
+```
+
+Try visiting `http://HOST:19999/custom-dashboard.html` in your browser.
+
+If you get a blank page with this text: `Access to file is not permitted: /usr/share/netdata/web/custom-dashboard.html`.
+You can fix this error by changing the dashboard file's permissions to make it owned by the `netdata` user.
+
+```bash
+sudo chown netdata:netdata /usr/share/netdata/web/custom-dashboard.html
+```
+
+Reload your browser, and you should see a blank page with the title: **Your custom dashboard**!
+
+## Add `dashboard.js` to your custom dashboard file
+
+You need to include the `dashboard.js` file of a Netdata agent to add Netdata charts. Add the following to the `<head>`
+of your custom dashboard page and change `HOST` according to your setup.
+
+```html
+ <!-- Add dashboard.js here! -->
+ <script type="text/javascript" src="http://HOST:19999/dashboard.js"></script>
+```
+
+When you add `dashboard.js` to any web page, it loads several JavaScript and CSS files to create and style charts. It
+also scans the page for elements that define charts, builds them, and refreshes with new metrics.
+
+> If you enabled SSL on your Netdata dashboard already, you'll need to use `https://` to grab the `dashboard.js` file.
+
+## Add some basic styling
+
+While not necessary, let's add some basic styling to make our dashboard look a little nicer. We're putting some
+basic CSS into a `<style>` tag inside of the page's `<head>` element.
+
+```html
+ <!-- Add dashboard.js here! -->
+ <script type="text/javascript" src="http://HOST:19999/dashboard.js"></script>
+
+ <style>
+ .wrap {
+ max-width: 1280px;
+ margin: 0 auto;
+ }
+
+ h1 {
+ margin-bottom: 30px;
+ text-align: center;
+ }
+
+ .charts {
+ display: flex;
+ flex-flow: row wrap;
+ justify-content: space-around;
+ }
+ </style>
+
+</head>
+```
+
+## Creating your dashboard's charts
+
+Time to create a chart!
+
+You need to create a `<div>` for each new chart. Each `<div>` element accepts a few `data-` attributes, some of which
+are required and some of which are optional.
+
+Let's cover a few important ones. And while we do it, we'll create a custom dashboard that shows a few CPU-related
+charts on a single page.
+
+### The chart unique ID (required)
+
+You need to specify the unique ID of a chart to show it on your custom dashboard. If you forgot how to find the unique
+ID, head back over to [step 2](/docs/guides/step-by-step/step-02.md#understand-charts-dimensions-families-and-contexts)
+for a re-introduction.
+
+You can then put this unique ID into a `<div>` element with the `data-netdata` attribute. Put this in the `<body>` of
+your custom dashboard file beneath the helpful comment.
+
+```html
+<body>
+
+ <main class="wrap">
+
+ <h1>My custom dashboard</h1>
+
+ <div class="charts">
+
+ <!-- Add charts here! -->
+ <div data-netdata="system.cpu"></div>
+
+ </div>
+
+ </main>
+
+</body>
+```
+
+Reload the page, and you should see a real-time `system.cpu` chart!
+
+... and a whole lot of white space. Let's fix that by adding a few more charts.
+
+```html
+ <!-- Add charts here! -->
+ <div data-netdata="system.cpu"></div>
+ <div data-netdata="apps.cpu"></div>
+ <div data-netdata="groups.cpu"></div>
+ <div data-netdata="users.cpu"></div>
+```
+
+![Custom dashboard with four charts
+added](https://user-images.githubusercontent.com/1153921/67526566-e675f580-f669-11e9-8ff5-d1f21a84fb2b.png)
+
+### Set chart duration
+
+By default, these charts visualize 10 minutes of Netdata metrics. Let's get a little more granular on this dashboard. To
+do so, add a new `data-after=""` attribute to each chart.
+
+`data-after` takes a _relative_ number of seconds from _now_. So, by putting `-300` as the value, you're asking the
+custom dashboard to display the _last 5 minutes_ (`5m * 60s = 300s`) of data.
+
+```html
+ <!-- Add charts here! -->
+ <div data-netdata="system.cpu"
+ data-after="-300">
+ </div>
+ <div data-netdata="apps.cpu"
+ data-after="-300">
+ </div>
+ <div data-netdata="groups.cpu"
+ data-after="-300">
+ </div>
+ <div data-netdata="users.cpu"
+ data-after="-300">
+ </div>
+```
+
+### Set chart size
+
+You can set the size of any chart using the `data-height=""` and `data-width=""` attributes. These attributes can be
+anything CSS accepts for width and height (e.g. percentages, pixels, em/rem, calc, and so on).
+
+Let's make the charts a little taller and allow them to fit side-by-side for a more compact view. Add
+`data-height="200px"` and `data-width="50%"` to each chart.
+
+```html
+ <div data-netdata="system.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="50%"></div>
+ <div data-netdata="apps.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="50%"></div>
+ <div data-netdata="groups.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="50%"></div>
+ <div data-netdata="users.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="50%"></div>
+```
+
+Now we're getting somewhere!
+
+![A custom dashboard with four charts
+side-by-side](https://user-images.githubusercontent.com/1153921/67526620-ff7ea680-f669-11e9-92d3-575665fc3a8e.png)
+
+## Final touches
+
+While we already have a perfectly workable dashboard, let's add some final touches to make it a little more pleasant on
+the eyes.
+
+First, add some extra CSS to create some vertical whitespace between the top and bottom row of charts.
+
+```html
+ <style>
+ ...
+
+ .charts > div {
+ margin-bottom: 6rem;
+ }
+ </style>
+```
+
+To create horizontal whitespace, change the value of `data-width="50%"` to `data-width="calc(50% - 2rem)"`.
+
+```html
+ <div data-netdata="system.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="apps.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="groups.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="users.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+```
+
+Told you the `data-width` and `data-height` attributes can take any CSS values!
+
+Prefer a dark theme? Add this to your `<head>` _above_ where you added `dashboard.js`:
+
+```html
+ <script>
+ var netdataTheme = 'slate';
+ </script>
+
+ <!-- Add dashboard.js here! -->
+ <script type="text/javascript" src="https://HOST/dashboard.js"></script>
+```
+
+Refresh the dashboard to give your eyes a break from all that blue light!
+
+![A finished custom
+dashboard](https://user-images.githubusercontent.com/1153921/67531221-a23d2200-f676-11e9-91fe-c2cf1c426bf9.png)
+
+## The final `custom-dashboard.html`
+
+In case you got lost along the way, here's the final version of the `custom-dashboard.html` file:
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+<head>
+ <title>My custom dashboard</title>
+
+ <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+ <meta charset="utf-8">
+ <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
+ <meta name="viewport" content="width=device-width, initial-scale=1">
+ <meta name="apple-mobile-web-app-capable" content="yes">
+ <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
+
+ <script>
+ var netdataTheme = 'slate';
+ </script>
+
+ <!-- Add dashboard.js here! -->
+ <script type="text/javascript" src="http://localhost:19999/dashboard.js"></script>
+
+ <style>
+ .wrap {
+ max-width: 1280px;
+ margin: 0 auto;
+ }
+
+ h1 {
+ margin-bottom: 30px;
+ text-align: center;
+ }
+
+ .charts {
+ display: flex;
+ flex-flow: row wrap;
+ justify-content: space-around;
+ }
+
+ .charts > div {
+ margin-bottom: 6rem;
+ position: relative;
+ }
+ </style>
+
+</head>
+<body>
+
+ <main class="wrap">
+
+ <h1>My custom dashboard</h1>
+
+ <div class="charts">
+
+ <!-- Add charts here! -->
+ <div data-netdata="system.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="apps.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="groups.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+ <div data-netdata="users.cpu"
+ data-after="-300"
+ data-height="250px"
+ data-width="calc(50% - 2rem)"></div>
+
+ </div>
+
+ </main>
+
+</body>
+</html>
+```
+
+## What's next?
+
+In this guide, you learned the fundamentals of building a custom Netdata dashboard. You should now be able to add more
+charts to your `custom-dashboard.html`, change the charts that are already there, and size them according to your needs.
+
+Of course, the custom dashboarding features covered here are just the beginning. Be sure to read up on our [custom
+dashboard documentation](/web/gui/custom/README.md) for details on how you can use other chart libraries, pull metrics
+from multiple Netdata agents, and choose which dimensions a given chart shows.
+
+Next, you'll learn how to store long-term historical metrics in Netdata!
+
+[Next: Long-term metrics storage &rarr;](/docs/guides/step-by-step/step-09.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-08&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-09.md b/docs/guides/step-by-step/step-09.md
new file mode 100644
index 000000000..636ffea1f
--- /dev/null
+++ b/docs/guides/step-by-step/step-09.md
@@ -0,0 +1,164 @@
+<!--
+title: "Step 9. Long-term metrics storage"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-09.md
+-->
+
+# Step 9. Long-term metrics storage
+
+By default, Netdata stores metrics in a custom database we call the [database engine](/database/engine/README.md), which
+stores recent metrics in your system's RAM and "spills" historical metrics to disk. By using both RAM and disk, the
+database engine helps you store a much larger dataset than the amount of RAM your system has.
+
+On a system that's collecting 2,000 metrics every second, the database engine's default configuration will store about
+two day's worth of metrics in RAM and on disk.
+
+That's a lot of metrics. We're talking 345,600,000 individual data points. And the database engine does it with a tiny
+a portion of the RAM available on most systems.
+
+To store _even more_ metrics, you have two options. First, you can tweak the database engine's options to expand the RAM
+or disk it uses. Second, you can archive metrics to an external database. For that, we'll use MongoDB as examples.
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, you'll learn how to:
+
+- [Tweak the database engine's settings](#tweak-the-database-engines-settings)
+- [Archive metrics to an external database](#archive-metrics-to-an-external-database)
+ - [Use the MongoDB database](#archive-metrics-via-the-mongodb-exporting-connector)
+
+Let's get started!
+
+## Tweak the database engine's settings
+
+If you're using Netdata v1.18.0 or higher, and you haven't changed your `memory mode` settings before following this
+guide, your Netdata agent is already using the database engine.
+
+Let's look at your `netdata.conf` file again. Under the `[global]` section, you'll find three connected options.
+
+```conf
+[global]
+ # memory mode = dbengine
+ # page cache size = 32
+ # dbengine disk space = 256
+```
+
+The `memory mode` option is set, by default, to `dbengine`. `page cache size` determines the amount of RAM, in MiB, that
+the database engine dedicates to caching the metrics it's collecting. `dbengine disk space` determines the amount of
+disk space, in MiB, that the database engine will use to store these metrics once they've been "spilled" to disk..
+
+You can uncomment and change either `page cache size` or `dbengine disk space` based on how much RAM and disk you want
+the database engine to use. The higher those values, the more metrics Netdata will store. If you change them to 64 and
+512, respectively, the database engine should store about four day's worth of data on a system collecting 2,000 metrics
+every second.
+
+[**See our database engine calculator**](/docs/store/change-metrics-storage.md) to help you correctly set `dbengine disk
+space` based on your needs. The calculator gives an accurate estimate based on how many child nodes you have, how many
+metrics your Agent collects, and more.
+
+```conf
+[global]
+ memory mode = dbengine
+ page cache size = 64
+ dbengine disk space = 512
+```
+
+After you've made your changes, [restart Netdata](/docs/getting-started.md#start-stop-and-restart-netdata).
+
+To confirm the database engine is working, go to your Netdata dashboard and click on the **Netdata Monitoring** menu on
+the right-hand side. You can find `dbengine` metrics after `queries`.
+
+![Image of the database engine reflected in the Netdata
+Dashboard](https://user-images.githubusercontent.com/12263278/64781383-9c71fe00-d55a-11e9-962b-efd5558efbae.png)
+
+## Archive metrics to an external database
+
+You can archive all the metrics collected by Netdata to **external databases**. The supported databases and services
+include Graphite, OpenTSDB, Prometheus, AWS Kinesis Data Streams, Google Cloud Pub/Sub, MongoDB, and the list is always
+growing.
+
+As we said in [step 1](/docs/guides/step-by-step/step-01.md), we have only complimentary systems, not competitors! We're
+happy to support these archiving methods and are always working to improve them.
+
+A lot of Netdata users archive their metrics to one of these databases for long-term storage or further analysis. Since
+Netdata collects so many metrics every second, they can quickly overload small devices or even big servers that are
+aggregating metrics streaming in from other Netdata agents.
+
+We even support resampling metrics during archiving. With resampling enabled, Netdata will archive only the average or
+sum of every X seconds of metrics. This reduces the sheer amount of data, albeit with a little less accuracy.
+
+How you archive metrics, or if you archive metrics at all, is entirely up to you! But let's cover two easy archiving
+methods, MongoDB and Prometheus remote write, to get you started.
+
+### Archive metrics via the MongoDB exporting connector
+
+Begin by installing MongoDB its dependencies via the correct package manager for your system.
+
+```bash
+sudo apt-get install mongodb # Debian/Ubuntu
+sudo dnf install mongodb # Fedora
+sudo yum install mongodb # CentOS
+```
+
+Next, install the one essential dependency: v1.7.0 or higher of
+[libmongoc](http://mongoc.org/libmongoc/current/installing.html).
+
+```bash
+sudo apt-get install libmongoc-1.0-0 libmongoc-dev # Debian/Ubuntu
+sudo dnf install mongo-c-driver mongo-c-driver-devel # Fedora
+sudo yum install mongo-c-driver mongo-c-driver-devel # CentOS
+```
+
+Next, create a new MongoDB database and collection to store all these archived metrics. Use the `mongo` command to start
+the MongoDB shell, and then execute the following command:
+
+```mongodb
+use netdata
+db.createCollection("netdata_metrics")
+```
+
+Next, Netdata needs to be [reinstalled](/packaging/installer/REINSTALL.md) in order to detect that the required
+libraries to make this exporting connection exist. Since you most likely installed Netdata using the one-line installer
+script, all you have to do is run that script again. Don't worry—any configuration changes you made along the way will
+be retained!
+
+```bash
+bash <(curl -Ss https://my-netdata.io/kickstart.sh)
+```
+
+Now, from your Netdata config directory, initialize and edit a `exporting.conf` file to tell Netdata where to find the
+database you just created.
+
+```sh
+./edit-config exporting.conf
+```
+
+Add the following section to the file:
+
+```conf
+[mongodb:my_mongo_instance]
+ enabled = yes
+ destination = mongodb://localhost
+ database = netdata
+ collection = netdata_metrics
+```
+
+[Restart](/docs/getting-started.md#start-stop-and-restart-netdata) Netdata to enable the MongoDB exporting connector.
+Click on the **Netdata Monitoring** menu and check out the **exporting my mongo instance** sub-menu. You should start
+seeing these charts fill up with data about the exporting process!
+
+![image](https://user-images.githubusercontent.com/1153921/70443852-25171200-1a56-11ea-8be3-494544b1c295.png)
+
+If you'd like to try connecting Netdata to another database, such as Prometheus or OpenTSDB, read our [exporting
+documentation](/exporting/README.md).
+
+## What's next?
+
+You're getting close to the end! In this step, you learned how to make the most of the database engine, or archive
+metrics to MongoDB for long-term storage.
+
+In the last step of this step-by-step guide, we'll put our sysadmin hat on and use Nginx to proxy traffic to and from
+our Netdata dashboard.
+
+[Next: Set up a proxy &rarr;](/docs/guides/step-by-step/step-10.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-09&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-10.md b/docs/guides/step-by-step/step-10.md
new file mode 100644
index 000000000..28ab47c67
--- /dev/null
+++ b/docs/guides/step-by-step/step-10.md
@@ -0,0 +1,230 @@
+<!--
+title: "Step 10. Set up a proxy"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-10.md
+-->
+
+# Step 10. Set up a proxy
+
+You're almost through! At this point, you should be pretty familiar with now Netdata works and how to configure it to
+your liking.
+
+In this step of the guide, we're going to add a proxy in front of Netdata. We're doing this for both improved
+performance and security, so we highly recommend following these steps. Doubly so if you installed Netdata on a
+publicly-accessible remote server.
+
+> ❗ If you installed Netdata on the machine you're currently using (e.g. on `localhost`), and have been accessing
+> Netdata at `http://localhost:19999`, you can skip this step of the guide. In most cases, there is no benefit to
+> setting up a proxy for a service running locally.
+
+> ❗❗ This guide requires more advanced administration skills than previous parts. If you're still working on your
+> Linux administration skills, and would rather get back to Netdata, you might want to [skip this
+> step](step-99.md) for now and return to it later.
+
+## What you'll learn in this step
+
+In this step of the Netdata guide, you'll learn:
+
+- [What a proxy is and the benefits of using one](#wait-whats-a-proxy)
+- [How to connect Netdata to Nginx](#connect-netdata-to-nginx)
+- [How to enable HTTPS in Nginx](#enable-https-in-nginx)
+- [How to secure your Netdata dashboard with a password](#secure-your-netdata-dashboard-with-a-password)
+
+Let's dive in!
+
+## Wait. What's a proxy?
+
+A proxy is a middleman between the internet and a service you're running on your system. Traffic from the internet at
+large enters your system through the proxy, which then routes it to the service.
+
+A proxy is often used to enable encrypted HTTPS connections with your browser, but they're also useful for load
+balancing, performance, and password-protection.
+
+We'll use [Nginx](https://nginx.org/en/) for this step of the guide, but you can also use
+[Caddy](https://caddyserver.com/) as a simple proxy if you prefer.
+
+## Required before you start
+
+You need three things to run a proxy using Nginx:
+
+- Nginx and Certbot installed on your system
+- A fully qualified domain name
+- A subdomain for Netdata that points to your system
+
+### Nginx and Certbot
+
+This step of the guide assumes you can install Nginx on your system. Here are the easiest methods to do so on Debian,
+Ubuntu, Fedora, and CentOS systems.
+
+```bash
+sudo apt-get install nginx # Debian/Ubuntu
+sudo dnf install nginx # Fedora
+sudo yum install nginx # CentOS
+```
+
+Check out [Nginx's installation
+instructions](https://docs.nginx.com/nginx/admin-guide/installing-nginx/installing-nginx-open-source/) for details on
+other Linux distributions.
+
+Certbot is a tool to help you create and renew certificate+key pairs for your domain. Visit their
+[instructions](https://certbot.eff.org/instructions) to get a detailed installation process for your operating system.
+
+### Fully qualified domain name
+
+The only other true prerequisite of using a proxy is a **fully qualified domain name** (FQDN). In other words, a domain
+name like `example.com`, `netdata.cloud`, or `github.com`.
+
+If you don't have a domain name, you won't be able to use a proxy the way we'll describe here.
+
+Because we strongly recommend running Netdata behind a proxy, the cost of a domain name is worth the benefit. If you
+don't have a preferred domain registrar, try [Google Domains](https://domains.google/),
+[Cloudflare](https://www.cloudflare.com/products/registrar/), or [Namecheap](https://www.namecheap.com/).
+
+### Subdomain for Netdata
+
+Any of the three domain registrars mentioned above, and most registrars in general, will allow you to create new DNS
+entries for your domain.
+
+To create a subdomain for Netdata, use your registrar's DNS settings to create an A record for a `netdata` subdomain.
+Point the A record to the IP address of your system.
+
+Once finished with the steps below, you'll be able to access your dashboard at `http://netdata.example.com`.
+
+## Connect Netdata to Nginx
+
+The first part of enabling the proxy is to create a new server for Nginx.
+
+Use your favorite text editor to create a file at `/etc/nginx/sites-available/netdata`, copy in the following
+configuration, and change the `server_name` line to match your domain.
+
+```nginx
+upstream backend {
+ server 127.0.0.1:19999;
+ keepalive 64;
+}
+
+server {
+ listen 80;
+
+ # Change `example.com` to match your domain name.
+ server_name netdata.example.com;
+
+ location / {
+ proxy_set_header X-Forwarded-Host $host;
+ proxy_set_header X-Forwarded-Server $host;
+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+ proxy_pass http://backend;
+ proxy_http_version 1.1;
+ proxy_pass_request_headers on;
+ proxy_set_header Connection "keep-alive";
+ proxy_store off;
+ }
+}
+```
+
+Save and close the file.
+
+Test your configuration file by running `sudo nginx -t`.
+
+If that returns no errors, it's time to make your server available. Run the command to create a symbolic link in the
+`sites-enabled` directory.
+
+```bash
+sudo ln -s /etc/nginx/sites-available/netdata /etc/nginx/sites-enabled/netdata
+```
+
+Finally, restart Nginx to make your changes live. Open your browser and head to `http://netdata.example.com`. You should
+see your proxied Netdata dashboard!
+
+## Enable HTTPS in Nginx
+
+All this proxying doesn't mean much if we can't take advantage of one of the biggest benefits: encrypted HTTPS
+connections! Let's fix that.
+
+Certbot will automatically get a certificate, edit your Nginx configuration, and get HTTPS running in a single step. Run
+the following:
+
+```bash
+sudo certbot --nginx
+```
+
+> See this error after running `sudo certbot --nginx`?
+>
+> ```
+> Saving debug log to /var/log/letsencrypt/letsencrypt.log
+> The requested nginx plugin does not appear to be installed`
+> ```
+>
+> You must install `python-certbox-nginx`. On Ubuntu or Debian systems, you can run `sudo apt-get install
+> python-certbot-nginx` to download and install this package.
+
+You'll be prompted with a few questions. At the `Which names would you like to activate HTTPS for?` question, hit
+`Enter`. Next comes this question:
+
+```bash
+Please choose whether or not to redirect HTTP traffic to HTTPS, removing HTTP access.
+- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
+1: No redirect - Make no further changes to the webserver configuration.
+2: Redirect - Make all requests redirect to secure HTTPS access. Choose this for
+new sites, or if you're confident your site works on HTTPS. You can undo this
+change by editing your web server's configuration.
+- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
+```
+
+You _do_ want to force HTTPS, so hit `2` and then `Enter`. Nginx will now ensure all attempts to access
+`netdata.example.com` use HTTPS.
+
+Certbot will automatically renew your certificate whenever it's needed, so you're done configuring your proxy. Open your
+browser again and navigate to `https://netdata.example.com`, and you'll land on an encrypted, proxied Netdata dashboard!
+
+## Secure your Netdata dashboard with a password
+
+Finally, let's take a moment to put your Netdata dashboard behind a password. This step is optional, but you might not
+want _anyone_ to access the metrics in your proxied dashboard.
+
+Run the below command after changing `user` to the username you want to use to log in to your dashboard.
+
+```bash
+sudo sh -c "echo -n 'user:' >> /etc/nginx/.htpasswd"
+```
+
+Then run this command to create a password:
+
+```bash
+sudo sh -c "openssl passwd -apr1 >> /etc/nginx/.htpasswd"
+```
+
+You'll be prompted to create a password. Next, open your Nginx configuration file at
+`/etc/nginx/sites-available/netdata` and add these two lines under `location / {`:
+
+```nginx
+ location / {
+ auth_basic "Restricted Content";
+ auth_basic_user_file /etc/nginx/.htpasswd;
+ ...
+```
+
+Save, exit, and restart Nginx. Then try visiting your dashboard one last time. You'll see a prompt for the username and
+password you just created.
+
+![Username/password
+prompt](https://user-images.githubusercontent.com/1153921/67431031-5320bf80-f598-11e9-9573-f9f9912f1ef6.png)
+
+Your Netdata dashboard is now a touch more secure.
+
+## What's next?
+
+You're a real sysadmin now!
+
+If you want to configure your Nginx proxy further, check out the following:
+
+- [Running Netdata behind Nginx](/docs/Running-behind-nginx.md)
+- [How to optimize Netdata's performance](/docs/guides/configure/performance.md)
+- [Enabling TLS on Netdata's dashboard](/web/server/README.md#enabling-tls-support)
+
+And... you're _almost_ done with the Netdata guide.
+
+For some celebratory emoji and a clap on the back, head on over to our final step.
+
+[Next: The end. &rarr;](step-99.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-10&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/step-by-step/step-99.md b/docs/guides/step-by-step/step-99.md
new file mode 100644
index 000000000..3b893d5a3
--- /dev/null
+++ b/docs/guides/step-by-step/step-99.md
@@ -0,0 +1,51 @@
+<!--
+title: "Step ∞. You're finished!"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/step-by-step/step-99.md
+-->
+
+# Step ∞. You're finished!
+
+Congratulations. 🎉
+
+You've completed the step-by-step Netdata guide. That means you're well on your way to becoming an expert in using
+our toolkit for health monitoring and performance troubleshooting.
+
+But, perhaps more importantly, also that much closer to being an expert in the _fundamental skills behind health
+monitoring and performance troubleshooting_, which you can take with you to any job or project.
+
+And that is the entire point of this guide, and Netdata's [documentation](https://learn.netdata.cloud) as a
+whole—give you every resource possible to help you build faster, more resilient systems, services, and applications.
+
+Along the way, you learned how to:
+
+- Navigate Netdata's dashboard and visually detect anomalies using its charts.
+- Monitor multiple systems using Netdata agents connected together with your browser and Netdata Cloud.
+- Edit your `netdata.conf` file to tweak Netdata to your liking.
+- Tune existing alarms and create entirely new ones, plus get notifications about alarms on your favorite services.
+- Take advantage of Netdata's auto-detection capabilities to ensure your applications/services are monitored with
+ little to no configuration.
+- Use advanced features within Netdata's dashboard.
+- Build a custom dashboard using `dashboard.js`.
+- Save more historical metrics with the database engine or archive metrics to MongoDB.
+- Put Netdata behind a proxy to enable HTTPS and improve performance.
+
+Seems like a lot, right? Well, we hope it felt manageable and, yes, even _fun_.
+
+## What's next?
+
+Now that you're at the end of our step-by-step Netdata guide, the next steps are entirely up to you. In fact, you're
+just at the beginning of your journey into health monitoring and performance troubleshooting.
+
+Our documentation exists to put every Netdata resource in front of you as easily and coherently as we possibly can.
+Click around, search, and find new mountains to climb.
+
+If that feels like too much possibility to you, why not one of these options:
+
+- Share your experience with Netdata and this guide. Be sure to [@mention](https://twitter.com/linuxnetdata) us on
+ Twitter!
+- Contribute to what we do. Browse our [open issues](https://github.com/netdata/netdata/issues) and check out out
+ [contributions doc](/CONTRIBUTING.md) for ideas of how you can pitch in.
+
+We can't wait to see what you monitor next! Bon voyage! ⛵
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fstep-by-step%2Fstep-99&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md b/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md
new file mode 100644
index 000000000..342193c58
--- /dev/null
+++ b/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md
@@ -0,0 +1,268 @@
+<!--
+title: "Monitor, troubleshoot, and debug applications with eBPF metrics"
+description: "Use Netdata's built-in eBPF metrics collector to monitor, troubleshoot, and debug your custom application using low-level kernel feedback."
+image: /img/seo/guides/troubleshoot/monitor-debug-applications-ebpf.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/troubleshoot/monitor-debug-applications-ebpf.md
+-->
+
+# Monitor, troubleshoot, and debug applications with eBPF metrics
+
+When trying to troubleshoot or debug a finicky application, there's no such thing as too much information. At Netdata,
+we developed programs that connect to the [_extended Berkeley Packet Filter_ (eBPF) virtual
+machine](/collectors/ebpf.plugin/README.md) to help you see exactly how specific applications are interacting with the
+Linux kernel. With these charts, you can root out bugs, discover optimizations, diagnose memory leaks, and much more.
+
+This means you can see exactly how often, and in what volume, the application creates processes, opens files, writes to
+filesystem using virtual filesystem (VFS) functions, and much more. Even better, the eBPF collector gathers metrics at
+an _event frequency_, which is even faster than Netdata's beloved 1-second granularity. When you troubleshoot and debug
+applications with eBPF, rest assured you miss not even the smallest meaningful event.
+
+Using this guide, you'll learn the fundamentals of setting up Netdata to give you kernel-level metrics from your
+application so that you can monitor, troubleshoot, and debug to your heart's content.
+
+## Configure `apps.plugin` to recognize your custom application
+
+To start troubleshooting an application with eBPF metrics, you need to ensure your Netdata dashboard collects and
+displays those metrics independent from any other process.
+
+You can use the `apps_groups.conf` file to configure which applications appear in charts generated by
+[`apps.plugin`](/collectors/apps.plugin/README.md). Once you edit this file and create a new group for the application
+you want to monitor, you can see how it's interacting with the Linux kernel via real-time eBPF metrics.
+
+Let's assume you have an application that runs on the process `custom-app`. To monitor eBPF metrics for that application
+separate from any others, you need to create a new group in `apps_groups.conf` and associate that process name with it.
+
+Open the `apps_groups.conf` file in your Netdata configuration directory.
+
+```bash
+cd /etc/netdata # Replace this path with your Netdata config directory
+sudo ./edit-config apps_groups.conf
+```
+
+Scroll down past the explanatory comments and stop when you see `# NETDATA processes accounting`. Above that, paste in
+the following text, which creates a new `dev` group with the `custom-app` process. Replace `custom-app` with the name of
+your application's process name.
+
+Your file should now look like this:
+
+```conf
+...
+# -----------------------------------------------------------------------------
+# Custom applications to monitor with apps.plugin and ebpf.plugin
+
+dev: custom-app
+
+# -----------------------------------------------------------------------------
+# NETDATA processes accounting
+...
+```
+
+Restart Netdata with `sudo service netdata restart` or the appropriate method for your system to begin seeing metrics
+for this particular group+process. You can also add additional processes to the same group.
+
+You can set up `apps_groups.conf` to more show more precise eBPF metrics for any application or service running on your
+system, even if it's a standard package like Redis, Apache, or any other [application/service Netdata collects
+from](/collectors/COLLECTORS.md).
+
+```conf
+# -----------------------------------------------------------------------------
+# Custom applications to monitor with apps.plugin and ebpf.plugin
+
+dev: custom-app
+database: *redis*
+apache: *apache*
+
+# -----------------------------------------------------------------------------
+# NETDATA processes accounting
+...
+```
+
+Now that you have `apps_groups.conf` set up to monitor your application/service, you can also set up the eBPF collector
+to show other charts that will help you debug and troubleshoot how it interacts with the Linux kernel.
+
+## Configure the eBPF collector to monitor errors
+
+The eBPF collector has [two possible modes](/collectors/ebpf.plugin#ebpf-load-mode): `entry` and `return`. The default
+is `entry`, and only monitors calls to kernel functions, but the `return` also monitors and charts _whether these calls
+return in error_.
+
+Let's turn on the `return` mode for more granularity when debugging Firefox's behavior.
+
+```bash
+cd /etc/netdata # Replace this path with your Netdata config directory
+sudo ./edit-config ebpf.conf
+```
+
+Replace `entry` with `return`:
+
+```conf
+[global]
+ ebpf load mode = return
+ disable apps = no
+
+[ebpf programs]
+ process = yes
+ network viewer = yes
+```
+
+Restart Netdata with `sudo service netdata restart` or the appropriate method for your system.
+
+## Get familiar with per-application eBPF metrics and charts
+
+Visit the Netdata dashboard at `http://NODE:19999`, replacing `NODE` with the hostname or IP of the system you're using
+to monitor this application. Scroll down to the **Applications** section. These charts now feature a `firefox` dimension
+with metrics specific to that process.
+
+Pay particular attention to the charts in the **ebpf file**, **ebpf syscall**, **ebpf process**, and **ebpf net**
+sub-sections. These charts are populated by low-level Linux kernel metrics thanks to eBPF, and showcase the volume of
+calls to open/close files, call functions like `do_fork`, IO activity on the VFS, and much more.
+
+See the [eBPF collector documentation](/collectors/ebpf.plugin/README.md#integration-with-appsplugin) for the full list
+of per-application charts.
+
+Let's show some examples of how you can first identify normal eBPF patterns, then use that knowledge to identify
+anomalies in a few simulated scenarios.
+
+For example, the following screenshot shows the number of open files, failures to open files, and closed files on a
+Debian 10 system. The first spike is from configuring/compiling a small C program, then from running Apache's `ab` tool
+to benchmark an Apache web server.
+
+![An example of eBPF
+charts](https://user-images.githubusercontent.com/1153921/85311677-a8380c80-b46a-11ea-9735-babaedc22fdb.png)
+
+In these charts, you can see first a spike in syscalls to open and close files from the configure/build process,
+followed by a similar spike from the Apache benchmark.
+
+> 👋 Don't forget that you can view chart data directly via Netdata's API!
+>
+> For example, open your browser and navigate to `http://NODE:19999/api/v1/data?chart=apps.file_open`, replacing `NODE`
+> with the IP address or hostname of your Agent. The API returns JSON of that chart's dimensions and metrics, which you
+> can use in other operations.
+>
+> To see other charts, replace `apps.file_open` with the context of the chart you want to see data for.
+>
+> To see all the API options, visit our [Swagger
+> documentation](https://editor.swagger.io/?url=https://raw.githubusercontent.com/netdata/netdata/master/web/api/netdata-swagger.yaml)
+> and look under the **/data** section.
+
+## Troubleshoot and debug applications with eBPF
+
+The actual method of troubleshooting and debugging any application with Netdata's eBPF metrics depends on the
+application, its place within your stack, and the type of issue you're trying to root cause. This guide won't be able to
+explain how to troubleshoot _any_ application with eBPF metrics, but it should give you some ideas on how to start with
+your own systems.
+
+The value of using Netdata to collect and visualize eBPF metrics is that you don't have to rely on existing (complex)
+command line eBPF programs or, even worse, write your own eBPF program to get the information you need.
+
+Let's walk through some scenarios where you might find value in eBPF metrics.
+
+### Benchmark application performance
+
+You can use eBPF metrics to profile the performance of your applications, whether they're custom or a standard Linux
+service, like a web server or database.
+
+For example, look at the charts below. The first spike represents running a Redis benchmark _without_ pipelining
+(`redis-benchmark -n 1000000 -t set,get -q`). The second spike represents the same benchmark _with_ pipelining
+(`redis-benchmark -n 1000000 -t set,get -q -P 16`).
+
+![Screenshot of eBPF metrics during a Redis
+benchmark](https://user-images.githubusercontent.com/1153921/84916168-91607700-b072-11ea-8fec-b76df89315aa.png)
+
+The performance optimization is clear from the speed at which the benchmark finished (the horizontal length of the
+spike) and the reduced write/read syscalls and bytes written to disk.
+
+You can run similar performance benchmarks against any application, view the results on a Linux kernel level, and
+continuously improve the performance of your infrastructure.
+
+### Inspect for leaking file descriptors
+
+If your application runs fine and then only crashes after a few hours, leaking file descriptors may be to blame.
+
+Check the **Number of open files (apps.file_open)** and **Files closed (apps.file_closed)** for discrepancies. These
+metrics should be more or less equal. If they diverge, with more open files than closed, your application may not be
+closing file descriptors properly.
+
+See, for example, the volume of files opened and closed by `apps.plugin` itself. Because the eBPF collector is
+monitoring these syscalls at an event level, you can see at any given second that the open and closed numbers as equal.
+
+This isn't to say Netdata is _perfect_, but at least `apps.plugin` doesn't have a file descriptor problem.
+
+![Screenshot of open and closed file
+descriptors](https://user-images.githubusercontent.com/1153921/84816048-c57f5d80-afc8-11ea-9684-d2b923d5d2b2.png)
+
+### Pin down syscall failures
+
+If you enabled the eBPF collector's `return` mode as mentioned [in a previous
+step](#configure-the-ebpf-collector-to-monitor-errors), you can view charts related to how often a given application's
+syscalls return in failure.
+
+By understanding when these failures happen, and when, you might be able to diagnose a bug in your application.
+
+To diagnose potential issues with an application, look at the **Fails to open files (apps.file_open_error)**, **Fails to
+close files (apps.file_close_error)**, **Fails to write (apps.vfs_write_error)**, and **Fails to read
+(apps.vfs_read_error)** charts for failed syscalls coming from your application. If you see any, look to the surrounding
+charts for anomalies at the same time frame, or correlate with other activity in the application or on the system to get
+closer to the root cause.
+
+### Investigate zombie processes
+
+Look for the trio of **Process started (apps.process_create)**, **Threads started (apps.thread_create)**, and **Tasks
+closed (apps.task_close)** charts to investigate situations where an application inadvertently leaves [zombie
+processes](https://en.wikipedia.org/wiki/Zombie_process).
+
+These processes, which are terminated and don't use up system resources, can still cause issues if your system runs out
+of available PIDs to allocate.
+
+For example, the chart below demonstrates a [zombie factory
+program](https://www.refining-linux.org/archives/7-Dr.-Frankenlinux-or-how-to-create-zombie-processes.html) in action.
+
+![Screenshot of eBPF showing evidence of a zombie
+process](https://user-images.githubusercontent.com/1153921/84831957-27e45800-afe1-11ea-9fe2-fdd910915366.png)
+
+Starting at 14:51:49, Netdata sees the `zombie` group creating one new process every second, but no closed tasks. This
+continues for roughly 30 seconds, at which point the factory program was killed with `SIGINT`, which results in the 31
+closed tasks in the subsequent second.
+
+Zombie processes may not be catastrophic, but if you're developing an application on Linux, you should eliminate them.
+If a service in your stack creates them, you should consider filing a bug report.
+
+## View eBPF metrics in Netdata Cloud
+
+You can also show per-application eBPF metrics in Netdata Cloud. This could be particularly useful if you're running the
+same application on multiple systems and want to correlate how it performs on each target, or if you want to share your
+findings with someone else on your team.
+
+If you don't already have a Netdata Cloud account, go [sign in](https://app.netdata.cloud) and get started for free.
+Read the [get started with Cloud guide](https://learn.netdata.cloud/docs/cloud/get-started) for a walkthrough of node
+claiming and other fundamentals.
+
+Once you've added one or more nodes to a Space in Netdata Cloud, you can see aggregated eBPF metrics in the [Overview
+dashboard](/docs/visualize/overview-infrastructure.md) under the same **Applications** or **eBPF** sections that you
+find on the local Agent dashboard. Or, [create new dashboards](/docs/visualize/create-dashboards.md) using eBPF metrics
+from any number of distributed nodes to see how your application interacts with multiple Linux kernels on multiple Linux
+systems.
+
+Now that you can see eBPF metrics in Netdata Cloud, you can [invite your
+team](https://learn.netdata.cloud/docs/cloud/manage/invite-your-team) and share your findings with others.
+
+## What's next?
+
+Debugging and troubleshooting an application takes a special combination of practice, experience, and sheer luck. With
+Netdata's eBPF metrics to back you up, you can rest assured that you see every minute detail of how your application
+interacts with the Linux kernel.
+
+If you're still trying to wrap your head around what we offer, be sure to read up on our accompanying documentation and
+other resources on eBPF monitoring with Netdata:
+
+- [eBPF collector](/collectors/ebpf.plugin/README.md)
+- [eBPF's integration with `apps.plugin`](/collectors/apps.plugin/README.md#integration-with-ebpf)
+- [Linux eBPF monitoring with Netdata](https://www.netdata.cloud/blog/linux-ebpf-monitoring-with-netdata/)
+
+The scenarios described above are just the beginning when it comes to troubleshooting with eBPF metrics. We're excited
+to explore others and see what our community dreams up. If you have other use cases, whether simulated or real-world,
+we'd love to hear them: [info@netdata.cloud](mailto:info@netdata.cloud).
+
+Happy troubleshooting!
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%troubleshoot%2Fmonitor-debug-applications-ebpf.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/guides/using-host-labels.md b/docs/guides/using-host-labels.md
new file mode 100644
index 000000000..6d4af2e5d
--- /dev/null
+++ b/docs/guides/using-host-labels.md
@@ -0,0 +1,212 @@
+<!--
+title: "Use host labels to organize systems, metrics, and alarms"
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/using-host-labels.md
+-->
+
+# Use host labels to organize systems, metrics, and alarms
+
+When you use Netdata to monitor and troubleshoot an entire infrastructure, whether that's dozens or hundreds of systems,
+you need sophisticated ways of keeping everything organized. You need alarms that adapt to the system's purpose, or
+whether the parent or child in a streaming setup. You need properly-labeled metrics archiving so you can sort,
+correlate, and mash-up your data to your heart's content. You need to keep tabs on ephemeral Docker containers in a
+Kubernetes cluster.
+
+You need **host labels**: a powerful new way of organizing your Netdata-monitored systems. We introduced host labels in
+[v1.20 of Netdata](https://blog.netdata.cloud/posts/release-1.20/), and they come pre-configured out of the box.
+
+Let's take a peek into how to create host labels and apply them across a few of Netdata's features to give you more
+organization power over your infrastructure.
+
+## Create unique host labels
+
+Host labels are defined in `netdata.conf`. To create host labels, open that file using `edit-config`.
+
+```bash
+cd /etc/netdata # Replace this path with your Netdata config directory, if different
+sudo ./edit-config netdata.conf
+```
+
+Create a new `[host labels]` section defining a new host label and its value for the system in question. Make sure not
+to violate any of the [host label naming rules](/docs/configuration-guide.md#netdata-labels).
+
+```conf
+[host labels]
+ type = webserver
+ location = us-seattle
+ installed = 20200218
+```
+
+Once you've written a few host labels, you need to enable them. Instead of restarting the entire Netdata service, you
+can reload labels using the helpful `netdatacli` tool:
+
+```bash
+netdatacli reload-labels
+```
+
+Your host labels will now be enabled. You can double-check these by using `curl http://HOST-IP:19999/api/v1/info` to
+read the status of your agent. For example, from a VPS system running Debian 10:
+
+```json
+{
+ ...
+ "host_labels": {
+ "_is_k8s_node": "false",
+ "_is_parent": "false",
+ "_virt_detection": "systemd-detect-virt",
+ "_container_detection": "none",
+ "_container": "unknown",
+ "_virtualization": "kvm",
+ "_architecture": "x86_64",
+ "_kernel_version": "4.19.0-6-amd64",
+ "_os_version": "10 (buster)",
+ "_os_name": "Debian GNU/Linux",
+ "type": "webserver",
+ "location": "seattle",
+ "installed": "20200218"
+ },
+ ...
+}
+```
+
+You may have noticed a handful of labels that begin with an underscore (`_`). These are automatic labels.
+
+### Automatic labels
+
+When Netdata starts, it captures relevant information about the system and converts them into automatically-generated
+host labels. You can use these to logically organize your systems via health entities, exporting metrics,
+parent-child status, and more.
+
+They capture the following:
+
+- Kernel version
+- Operating system name and version
+- CPU architecture, system cores, CPU frequency, RAM, and disk space
+- Whether Netdata is running inside of a container, and if so, the OS and hardware details about the container's host
+- Whether Netdata is running inside K8s node
+- What virtualization layer the system runs on top of, if any
+- Whether the system is a streaming parent or child
+
+If you want to organize your systems without manually creating host tags, try the automatic labels in some of the
+features below.
+
+## Host labels in streaming
+
+You may have noticed the `_is_parent` and `_is_child` automatic labels from above. Host labels are also now
+streamed from a child to its parent node, which concentrates an entire infrastructure's OS, hardware, container,
+and virtualization information in one place: the parent.
+
+Now, if you'd like to remind yourself of how much RAM a certain child node has, you can access
+`http://localhost:19999/host/CHILD_HOSTNAME/api/v1/info` and reference the automatically-generated host labels from the
+child system. It's a vastly simplified way of accessing critical information about your infrastructure.
+
+> ⚠️ Because automatic labels for child nodes are accessible via API calls, and contain sensitive information like
+> kernel and operating system versions, you should secure streaming connections with SSL. See the [streaming
+> documentation](/streaming/README.md#securing-streaming-communications) for details. You may also want to use
+> [access lists](/web/server/README.md#access-lists) or [expose the API only to LAN/localhost
+> connections](/docs/netdata-security.md#expose-netdata-only-in-a-private-lan).
+
+You can also use `_is_parent`, `_is_child`, and any other host labels in both health entities and metrics
+exporting. Speaking of which...
+
+## Host labels in health entities
+
+You can use host labels to logically organize your systems by their type, purpose, or location, and then apply specific
+alarms to them.
+
+For example, let's use configuration example from earlier:
+
+```conf
+[host labels]
+ type = webserver
+ location = us-seattle
+ installed = 20200218
+```
+
+You could now create a new health entity (checking if disk space will run out soon) that applies only to any host
+labeled `webserver`:
+
+```yaml
+ template: disk_fill_rate
+ on: disk.space
+ lookup: max -1s at -30m unaligned of avail
+ calc: ($this - $avail) / (30 * 60)
+ every: 15s
+ host labels: type = webserver
+```
+
+Or, by using one of the automatic labels, for only webserver systems running a specific OS:
+
+```yaml
+ host labels: _os_name = Debian*
+```
+
+In a streaming configuration where a parent node is triggering alarms for its child nodes, you could create health
+entities that apply only to child nodes:
+
+```yaml
+ host labels: _is_child = true
+```
+
+Or when ephemeral Docker nodes are involved:
+
+```yaml
+ host labels: _container = docker
+```
+
+Of course, there are many more possibilities for intuitively organizing your systems with host labels. See the [health
+documentation](/health/REFERENCE.md#alarm-line-host-labels) for more details, and then get creative!
+
+## Host labels in metrics exporting
+
+If you have enabled any metrics exporting via our experimental [exporters](/exporting/README.md), any new host
+labels you created manually are sent to the destination database alongside metrics. You can change this behavior by
+editing `exporting.conf`, and you can even send automatically-generated labels on with exported metrics.
+
+```conf
+[exporting:global]
+enabled = yes
+send configured labels = yes
+send automatic labels = no
+```
+
+You can also change this behavior per exporting connection:
+
+```conf
+[opentsdb:my_instance3]
+enabled = yes
+destination = localhost:4242
+data source = sum
+update every = 10
+send charts matching = system.cpu
+send configured labels = no
+send automatic labels = yes
+```
+
+By applying labels to exported metrics, you can more easily parse historical metrics with the labels applied. To learn
+more about exporting, read the [documentation](/exporting/README.md).
+
+## What's next?
+
+Host labels are a brand-new feature to Netdata, and yet they've already propagated deeply into some of its core
+functionality. We're just getting started with labels, and will keep the community apprised of additional functionality
+as it's made available. You can also track [issue #6503](https://github.com/netdata/netdata/issues/6503), which is where
+the Netdata team first kicked off this work.
+
+It should be noted that while the Netdata dashboard does not expose either user-configured or automatic host labels, API
+queries _do_ showcase this information. As always, we recommend you secure Netdata
+
+- [Expose Netdata only in a private LAN](/docs/netdata-security.md#expose-netdata-only-in-a-private-lan)
+- [Enable TLS/SSL for web/API requests](/web/server/README.md#enabling-tls-support)
+- Put Netdata behind a proxy
+ - [Use an authenticating web server in proxy
+ mode](/docs/netdata-security.md#use-an-authenticating-web-server-in-proxy-mode)
+ - [Nginx proxy](/docs/Running-behind-nginx.md)
+ - [Apache proxy](/docs/Running-behind-apache.md)
+ - [Lighttpd](/docs/Running-behind-lighttpd.md)
+ - [Caddy](/docs/Running-behind-caddy.md)
+
+If you have issues or questions around using host labels, don't hesitate to [file an
+issue](https://github.com/netdata/netdata/issues/new?labels=bug%2C+needs+triage&template=bug_report.md) on GitHub. We're
+excited to make host labels even more valuable to our users, which we can only do with your input.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fusing-host-labels&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)