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| author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2021-02-07 11:45:55 +0000 |
|---|---|---|
| committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2021-02-07 11:45:55 +0000 |
| commit | a8220ab2d293bb7f4b014b79d16b2fb05090fa93 (patch) | |
| tree | 77f0a30f016c0925cf7ee9292e644bba183c2774 /docs/guides | |
| parent | Adding upstream version 1.19.0. (diff) | |
| download | netdata-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')
29 files changed, 5351 insertions, 0 deletions
diff --git a/docs/guides/collect-apache-nginx-web-logs.md b/docs/guides/collect-apache-nginx-web-logs.md new file mode 100644 index 000000000..215ced3ef --- /dev/null +++ b/docs/guides/collect-apache-nginx-web-logs.md @@ -0,0 +1,161 @@ +<!-- +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! + + + +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. + +[](<>) 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! + + + +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. + +[](<>) 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) + +[](<>) 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. + + + +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. + +[](<>) 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. + + + +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. + + + +## 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. + + + +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. + + + +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. + + + +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. + + + +## 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). + +[](<>) 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. + +[](<>) 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) + +[](<>) 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. + +[](<>) 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. + + + +## 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. + + + +### 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' +``` + + + +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) + +[](<>) 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. + + + +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. + + + +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, + +[](<>) 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: + + + +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. + + + +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`). + + + +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. + + + +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. + + + +The same goes for metrics coming from the CockroachDB pod running on this same node. + + + +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. + + + +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. + + + +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). + + + +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. + +[](<>) 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! + + + +## 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. + + + +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/). + +[](<>) 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. + + + +## 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. + + + +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. + + + +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. + + + + + +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. + + + +> 💡 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. + + + +`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) + +[](<>) 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: + + + +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. + +[](<>) 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. + + + +The second class triggers warning alarms when the number of anomalies in the last two minutes hits 10 or higher. + + + +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→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. + + + +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: + + + +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) + +[](<>) 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. + +[](<>) 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: + + + +> 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 →](step-02.md) + +[](<>) diff --git a/docs/guides/step-by-step/step-02.md b/docs/guides/step-by-step/step-02.md new file mode 100644 index 000000000..c87712c9a --- /dev/null +++ b/docs/guides/step-by-step/step-02.md @@ -0,0 +1,208 @@ +<!-- +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! + + + +> 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. + + + +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. + + + +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`: + + + +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. + + + +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 **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. + + + +### 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. + + + +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: + + + +And a static screenshot of the raised CPU alarm: + + + +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) + +[](<>) diff --git a/docs/guides/step-by-step/step-03.md b/docs/guides/step-by-step/step-03.md new file mode 100644 index 000000000..2319adb44 --- /dev/null +++ b/docs/guides/step-by-step/step-03.md @@ -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. + + + +## 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. + + + +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. + + + +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. + + + +## 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 →](step-04.md) + +[](<>) diff --git a/docs/guides/step-by-step/step-04.md b/docs/guides/step-by-step/step-04.md new file mode 100644 index 000000000..0495145f4 --- /dev/null +++ b/docs/guides/step-by-step/step-04.md @@ -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: + + + +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! + + + +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! + + + +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 →](step-05.md) + +[](<>) diff --git a/docs/guides/step-by-step/step-05.md b/docs/guides/step-by-step/step-05.md new file mode 100644 index 000000000..5e627632d --- /dev/null +++ b/docs/guides/step-by-step/step-05.md @@ -0,0 +1,343 @@ +<!-- +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. + + + +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? + + + +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 →](step-06.md) + +[](<>) diff --git a/docs/guides/step-by-step/step-06.md b/docs/guides/step-by-step/step-06.md new file mode 100644 index 000000000..bb1f23494 --- /dev/null +++ b/docs/guides/step-by-step/step-06.md @@ -0,0 +1,122 @@ +<!-- +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 →](step-07.md) + +[](<>) 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. + + + +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. + + + +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. + + + +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. + + + +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 →](step-08.md) + +[](<>) diff --git a/docs/guides/step-by-step/step-08.md b/docs/guides/step-by-step/step-08.md new file mode 100644 index 000000000..76a1b0775 --- /dev/null +++ b/docs/guides/step-by-step/step-08.md @@ -0,0 +1,395 @@ +<!-- +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> +``` + + + +### 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! + + + +## 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! + + + +## 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 →](/docs/guides/step-by-step/step-09.md) + +[](<>) 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`. + + + +## 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! + + + +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 →](/docs/guides/step-by-step/step-10.md) + +[](<>) 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. + + + +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. →](step-99.md) + +[](<>) 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! ⛵ + +[](<>) 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. + + + +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`). + + + +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. + + + +### 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. + + + +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! + +[](<>) 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. + +[](<>) |