Merging upstream version 1.29.0.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 235 insertions, 0 deletions

diff --git a/docs/guides/configure/performance.md b/docs/guides/configure/performance.md
new file mode 100644
index 00000000..5f93a8cd
--- /dev/null
+++ b/docs/guides/configure/performance.md
@@ -0,0 +1,235 @@
+<!--
+title: How to optimize the Netdata Agent's performance
+description: "While the Netdata Agent is designed to monitor a system with only 1% CPU, you can optimize its performance for low-resource systems."
+image: /img/seo/guides/configure/performance.png
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/configure/performance.md
+-->
+
+# How to optimize the Netdata Agent's performance
+
+We designed the Netdata Agent to be incredibly lightweight, even when it's collecting a few thousand dimensions every
+second and visualizing that data into hundreds of charts. The Agent itself should never use more than 1% of a single CPU
+core, roughly 100 MiB of RAM, and minimal disk I/O to collect, store, and visualize all this data.
+  
+We take this scalability seriously. We have one user [running
+Netdata](https://github.com/netdata/netdata/issues/1323#issuecomment-266427841) on a system with 144 cores and 288
+threads. Despite collecting 100,000 metrics every second, the Agent still only uses 9% CPU utilization on a
+single core.
+
+But not everyone has such powerful systems at their disposal. For example, you might run the Agent on a cloud VM with
+only 512 MiB of RAM, or an IoT device like a [Raspberry Pi](/docs/guides/monitor/pi-hole-raspberry-pi.md). In these
+cases, reducing Netdata's footprint beyond its already diminutive size can pay big dividends, giving your services more
+horsepower while still monitoring the health and the performance of the node, OS, hardware, and applications.
+
+## Prerequisites
+
+-   A node running the Netdata Agent.
+-   Familiarity with configuring the Netdata Agent with `edit-config`.
+
+If you're not familiar with how to configure the Netdata Agent, read our [node configuration
+doc](/docs/configure/nodes.md) before continuing with this guide. This guide assumes familiarity with the Netdata config
+directory, using `edit-config`, and the process of uncommenting/editing various settings in `netdata.conf` and other
+configuration files.
+
+## What affects Netdata's performance?
+
+Netdata's performance is primarily affected by **data collection/retention** and **clients accessing data**. 
+
+You can configure almost all aspects of data collection/retention, and certain aspects of clients accessing data. For
+example, you can't control how many users might be viewing a local Agent dashboard, [viewing an
+infrastructure](/docs/visualize/overview-infrastructure.md) in real-time with Netdata Cloud, or running [Metric
+Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations).
+
+The Netdata Agent runs with the lowest possible [process scheduling
+policy](/daemon/README.md#netdata-process-scheduling-policy), which is `nice 19`, and uses the `idle` process scheduler.
+Together, these settings ensure that the Agent only gets CPU resources when the node has CPU resources to space. If the
+node reaches 100% CPU utilization, the Agent is stopped first to ensure your applications get any available resources.
+In addition, under heavy load, collectors that require disk I/O may stop and show gaps in charts.
+
+Let's walk through the best ways to improve the Netdata Agent's performance.
+
+## Reduce collection frequency
+
+The fastest way to improve the Agent's resource utilization is to reduce how often it collects metrics.
+
+### Global
+
+If you don't need per-second metrics, or if the Netdata Agent uses a lot of CPU even when no one is viewing that node's
+dashboard, configure the Agent to collect metrics less often.
+
+Open `netdata.conf` and edit the `update every` setting. The default is `1`, meaning that the Agent collects metrics
+every second.
+
+If you change this to `2`, Netdata enforces a minimum `update every` setting of 2 seconds, and collects metrics every
+other second, which will effectively halve CPU utilization. Set this to `5` or `10` to collect metrics every 5 or 10
+seconds, respectively.
+
+```conf
+[global]
+    update every = 5
+```
+
+### Specific plugin or collector
+
+Every collector and plugin has its own `update every` setting, which you can also change in the `go.d.conf`,
+`python.d.conf`, `node.d.conf`, or `charts.d.conf` files, or in individual collector configuration files. If the `update
+every` for an individual collector is less than the global, the Netdata Agent uses the global setting. See the [enable
+or configure a collector](/docs/collect/enable-configure.md) doc for details.
+
+To reduce the frequency of an [internal
+plugin/collector](/docs/collect/how-collectors-work.md#collector-architecture-and-terminology), open `netdata.conf` and
+find the appropriate section. For example, to reduce the frequency of the `apps` plugin, which collects and visualizes
+metrics on application resource utilization:
+
+```conf
+[plugin:apps]
+    update every = 5
+```
+
+To [configure an individual collector](/docs/collect/enable-configure.md), open its specific configuration file with
+`edit-config` and look for the `update_every` setting. For example, to reduce the frequency of the `nginx` collector,
+run `sudo ./edit-config go.d/nginx.conf`:
+
+```conf
+# [ GLOBAL ]
+update_every: 10
+```
+
+## Disable unneeded plugins or collectors
+
+If you know that you don't need an [entire plugin or a specific
+collector](/docs/collect/how-collectors-work.md#collector-architecture-and-terminology), you can disable any of them.
+Keep in mind that if a plugin/collector has nothing to do, it simply shuts down and does not consume system resources.
+You will only improve the Agent's performance by disabling plugins/collectors that are actively collecting metrics.
+
+Open `netdata.conf` and scroll down to the `[plugins]` section. To disable any plugin, uncomment it and set the value to
+`no`. For example, to explicitly keep the `proc` and `go.d` plugins enabled while disabling `python.d`, `charts.d`, and
+`node.d`.
+
+```conf
+[plugins]
+    proc = yes
+		python.d = no
+		charts.d = no
+		node.d = no
+		go.d = yes
+```
+
+Disable specific collectors by opening their respective plugin configuration files, uncommenting the line for the
+collector, and setting its value to `no`.
+
+```bash
+sudo ./edit-config go.d.conf
+sudo ./edit-config python.d.conf
+sudo ./edit-config node.d.conf
+sudo ./edit-config charts.d.conf
+```
+
+For example, to disable a few Python collectors:
+
+```conf
+modules:
+  apache: no
+	dockerd: no
+	fail2ban: no
+```
+
+## Lower memory usage for metrics retention
+
+Reduce the disk space that the [database engine](/database/engine/README.md) uses to retain metrics by editing
+the `dbengine multihost disk space` option in `netdata.conf`. The default value is `256`, but can be set to a minimum of
+`64`. By reducing the disk space allocation, Netdata also needs to store less metadata in the node's memory.
+
+The `page cache size` option also directly impacts Netdata's memory usage, but has a minimum value of `32`.
+
+Reducing the value of `dbengine multihost disk space` does slim down Netdata's resource usage, but it also reduces how
+long Netdata retains metrics. Find the right balance of performance and metrics retention by using the [dbengine
+calculator](/docs/store/change-metrics-storage.md#calculate-the-system-resources-ram-disk-space-needed-to-store-metrics).
+
+All the settings are found in the `[global]` section of `netdata.conf`:
+
+```conf
+[global]
+    memory mode = dbengine
+    page cache size = 32
+    dbengine multihost disk space = 256
+```
+
+## Run Netdata behind Nginx
+
+A dedicated web server like Nginx provides far more robustness than the Agent's internal [web server](/web/README.md).
+Nginx can handle more concurrent connections, reuse idle connections, and use fast gzip compression to reduce payloads.
+
+For details on installing Nginx as a proxy for the local Agent dashboard, see our [Nginx
+doc](/docs/Running-behind-nginx.md).
+
+After you complete Nginx setup according to the doc linked above, we recommend setting `keepalive` to `1024`, and using
+gzip compression with the following options in the `location /` block:
+
+```conf
+  location / {
+		...
+		gzip on;
+		gzip_proxied any;
+		gzip_types *;
+	}
+```
+
+Finally, edit `netdata.conf` with the following settings:
+
+```conf
+[global]
+    bind socket to IP = 127.0.0.1
+    access log = none
+    disconnect idle web clients after seconds = 3600
+    enable web responses gzip compression = no
+```
+
+## Disable/lower gzip compression for the dashboard
+
+If you choose not to run the Agent behind Nginx, you can disable or lower the Agent's web server's gzip compression.
+While gzip compression does reduce the size of the HTML/CSS/JS payload, it does use additional CPU while a user is
+looking at the local Agent dashboard.
+
+To disable gzip compression, open `netdata.conf` and find the `[web]` section:
+
+```conf
+[web]
+    enable gzip compression = no
+```
+
+Or to lower the default compression level:
+
+```conf
+[web]
+    enable gzip compression = yes
+    gzip compression level = 1
+```
+
+## Disable logs
+
+If you installation is working correctly, and you're not actively auditing Netdata's logs, disable them in
+`netdata.conf`.
+
+```conf
+[global]
+    debug log = none
+    error log = none
+    access log = none
+```
+
+## What's next?
+
+We hope this guide helped you better understand how to optimize the performance of the Netdata Agent.
+
+Now that your Agent is running smoothly, we recommend you [secure your nodes](/docs/configure/nodes.md) if you haven't
+already.
+
+Next, dive into some of Netdata's more complex features, such as configuring its health watchdog or exporting metrics to
+an external time-series database.
+
+-   [Interact with dashboards and charts](/docs/visualize/interact-dashboards-charts.md)
+-   [Configure health alarms](/docs/monitor/configure-alarms.md)
+-   [Export metrics to external time-series databases](/docs/export/external-databases.md)
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fguides%2Fconfigure%2Fperformance.md&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)