Merging upstream version 1.29.0.

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

5 files changed, 390 insertions, 0 deletions

diff --git a/docs/collect/application-metrics.md b/docs/collect/application-metrics.md
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+<!--
+title: "Collect application metrics with Netdata"
+sidebar_label: "Application metrics"
+description: "Monitor and troubleshoot every application on your infrastructure with per-second metrics, zero configuration, and meaningful charts."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/application-metrics.md
+-->
+
+# Collect application metrics with Netdata
+
+Netdata instantly collects per-second metrics from many different types of applications running on your systems, such as
+web servers, databases, message brokers, email servers, search platforms, and much more. Metrics collectors are
+pre-installed with every Netdata Agent and usually require zero configuration. Netdata also collects and visualizes
+resource utilization per application on Linux systems using `apps.plugin`.
+
+[**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. By reading the process tree, Netdata
+shows CPU, disk, networking, processes, and eBPF for every application or Linux user. Unlike `top` or `ps fax`, Netdata
+adds a layer of meaningful visualization on top of the process tree metrics, such as grouping applications into useful
+dimensions, and then creates per-application charts under the **Applications** section of a Netdata dashboard, per-user
+charts under **Users**, and per-user group charts under **User Groups**.
+
+Our most popular application collectors:
+
+-   [Prometheus endpoints](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus): Gathers
+    metrics from one or more Prometheus endpoints that use the OpenMetrics exposition format. Autodetects more than 600
+    endpoints.
+-   [Web server logs (Apache, NGINX)](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog/):
+    Tail access logs and provide very detailed web server performance statistics. This module is able to parse 200k+
+    rows in less than half a second.
+-   [MySQL](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql/): Collect database global,
+    replication, and per-user statistics.
+-   [Redis](/collectors/python.d.plugin/redis/): Monitor database status by reading the server's response to the `INFO`
+    command.
+-   [Apache](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/apache/): Collect Apache web
+    server performance metrics via the `server-status?auto` endpoint.
+-   [Nginx](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx/): Monitor web server
+    status information by gathering metrics via `ngx_http_stub_status_module`.
+-   [Postgres](/collectors/python.d.plugin/postgres/README.md): Collect database health and performance metrics. 
+-   [ElasticSearch](/collectors/python.d.plugin/elasticsearch/README.md): Collect search engine performance and health
+    statistics. Optionally collects per-index metrics.
+-   [PHP-FPM](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/phpfpm/): Collect application
+    summary and processes health metrics by scraping the status page (`/status?full`).
+
+Our [supported collectors list](/collectors/COLLECTORS.md#service-and-application-collectors) shows all Netdata's
+application metrics collectors, including those for containers/k8s clusters.
+
+## Collect metrics from applications running on Windows
+
+Netdata is fully capable of collecting and visualizing metrics from applications running on Windows systems. The only
+caveat is that you must [install the Agent](/docs/get/README.md) on a separate system or a compatible VM because there
+is no native Windows version of the Netdata Agent.
+
+Once you have the Agent running on that separate system, you can follow the [enable and configure
+doc](/docs/collect/enable-configure.md) to tell the collector to look for exposed metrics on the Windows system's IP
+address or hostname, plus the applicable port.
+
+For example, you have a MySQL database with a root password of `my-secret-pw` running on a Windows system with the IP
+address 203.0.113.0. you can configure the [MySQL
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql) to look at `203.0.113.0:3306`:
+
+```yml
+jobs:
+  - name: local
+    dsn: root:my-secret-pw@tcp(203.0.113.0:3306)/
+```
+
+This same logic applies to any application in our [supported collectors
+list](/collectors/COLLECTORS.md#service-and-application-collectors) that can run on Windows.
+
+## What's next?
+
+If you haven't yet seen the [supported collectors list](/collectors/COLLECTORS.md) give it a once-over for any
+additional applications you may want to monitor using Netdata's native collectors, or the [generic Prometheus
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus).
+
+Collecting all the available metrics on your nodes, and across your entire infrastructure, is just one piece of the
+puzzle. Next, learn more about Netdata's famous real-time visualizations by [seeing an overview of your
+infrastructure](/docs/visualize/overview-infrastructure.md) using Netdata Cloud.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fcollect%2Fapplication-metrics&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/collect/container-metrics.md b/docs/collect/container-metrics.md
new file mode 100644
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--- /dev/null
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+<!--
+title: "Collect container metrics with Netdata"
+sidebar_label: "Container metrics"
+description: "Use Netdata to collect per-second utilization and application-level metrics from Linux/Docker containers and Kubernetes clusters."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/container-metrics.md
+-->
+
+# Collect container metrics with Netdata
+
+Thanks to close integration with Linux cgroups and the virtual files it maintains under `/sys/fs/cgroup`, Netdata can
+monitor the health, status, and resource utilization of many different types of Linux containers.
+
+Netdata uses [cgroups.plugin](/collectors/cgroups.plugin/README.md) to poll `/sys/fs/cgroup` and convert the raw data
+into human-readable metrics and meaningful visualizations. Through cgroups, Netdata is compatible with **all Linux
+containers**, such as Docker, LXC, LXD, Libvirt, systemd-nspawn, and more. Read more about [Docker-specific
+monitoring](#collect-docker-metrics) below.
+
+Netdata also has robust **Kubernetes monitoring** support thanks to a
+[Helmchart](/packaging/installer/methods/kubernetes.md) to automate deployment, collectors for k8s agent services, and
+robust [service discovery](https://github.com/netdata/agent-service-discovery/#service-discovery) to monitor the
+services running inside of pods in your k8s cluster. Read more about [Kubernetes
+monitoring](#collect-kubernetes-metrics) below.
+
+A handful of additional collectors gather metrics from container-related services, such as
+[dockerd](/collectors/python.d.plugin/dockerd/README.md) or [Docker
+Engine](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/docker_engine/). You can find all
+container collectors in our supported collectors list under the
+[containers/VMs](/collectors/COLLECTORS.md#containers-and-vms) and
+[Kubernetes](/collectors/COLLECTORS.md#containers-and-vms) headings.
+
+## Collect Docker metrics
+
+Netdata has robust Docker monitoring thanks to the aforementioned
+[cgroups.plugin](/collectors/cgroups.plugin/README.md). By polling cgroups every second, Netdata can produce meaningful
+visualizations about the CPU, memory, disk, and network utilization of all running containers on the host system with
+zero configuration.
+
+Netdata also collects metrics from applications running inside of Docker containers. For example, if you create a MySQL
+database container using `docker run --name some-mysql -e MYSQL_ROOT_PASSWORD=my-secret-pw -d mysql:tag`, it exposes
+metrics on port 3306. You can configure the [MySQL
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql) to look at `127.0.0.0:3306` for
+MySQL metrics:
+
+```yml
+jobs:
+  - name: local
+    dsn: root:my-secret-pw@tcp(127.0.0.1:3306)/
+```
+
+Netdata then collects metrics from the container itself, but also dozens [MySQL-specific
+metrics](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql#charts) as well.
+
+### Collect metrics from applications running in Docker containers
+
+You could use this technique to monitor an entire infrastructure of Docker containers. The same [enable and
+configure](/docs/collect/enable-configure.md) procedures apply whether an application runs on the host system or inside
+a container. You may need to configure the target endpoint if it's not the application's default.
+
+Netdata can even [run in a Docker container](/packaging/docker/README.md) itself, and then collect metrics about the
+host system, its own container with cgroups, and any applications you want to monitor.
+
+See our [application metrics doc](/docs/collect/application-metrics.md) for details about Netdata's application metrics
+collection capabilities.
+
+## Collect Kubernetes metrics
+
+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.
+
+For a holistic view of Netdata's Kubernetes monitoring capabilities, see our guide: [_Monitor a Kubernetes (k8s) cluster
+with Netdata_](https://learn.netdata.cloud/guides/monitor/kubernetes-k8s-netdata).
+
+## What's next?
+
+Netdata is capable of collecting metrics from hundreds of applications, such as web servers, databases, messaging
+brokers, and more. See more in the [application metrics doc](/docs/collect/application-metrics.md).
+
+If you already have all the information you need about collecting metrics, move into Netdata's meaningful visualizations
+with [seeing an overview of your infrastructure](/docs/visualize/overview-infrastructure.md) using Netdata Cloud.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fcollect%2Fcontainer-metrics&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/collect/enable-configure.md b/docs/collect/enable-configure.md
new file mode 100644
index 000000000..33d7a7bb4
--- /dev/null
+++ b/docs/collect/enable-configure.md
@@ -0,0 +1,66 @@
+<!--
+title: "Enable or configure a collector"
+description: "Every collector is highly configurable, allowing them to collect metrics from any node and any infrastructure."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/enable-configure.md
+-->
+
+# Enable or configure a collector
+
+When Netdata starts up, each collector searches for exposed metrics on the default endpoint established by that service
+or application's standard installation procedure. For example, the [Nginx
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx) searches at
+`http://127.0.0.1/stub_status` for exposed metrics in the correct format. If an Nginx web server is running and exposes
+metrics on that endpoint, the collector begins gathering them.
+
+However, not every node or infrastructure uses standard ports, paths, files, or naming conventions. You may need to
+enable or configure a collector to gather all available metrics from your systems, containers, or applications.
+
+## Enable a collector or its orchestrator
+
+You can enable/disable collectors individually, or enable/disable entire orchestrators, using their configuration files.
+For example, you can change the behavior of the Go orchestrator, or any of its collectors, by editing `go.d.conf`.
+
+Use `edit-config` from your [Netdata config directory](/docs/configure/nodes.md#the-netdata-config-directory) to open
+the orchestrator primary configuration file:
+
+```bash
+cd /etc/netdata
+sudo ./edit-config go.d.conf
+```
+
+Within this file, you can either disable the orchestrator entirely (`enabled: yes`), or find a specific collector and
+enable/disable it with `yes` and `no` settings. Uncomment any line you change to ensure the Netdata daemon reads it on
+start.
+
+After you make your changes, restart the Agent with `service netdata restart`.
+
+## Configure a collector
+
+First, [find the collector](/collectors/COLLECTORS.md) you want to edit and open its documentation. Some software has
+collectors written in multiple languages. In these cases, you should always pick the collector written in Go.
+
+Use `edit-config` from your [Netdata config directory](/docs/configure/nodes.md#the-netdata-config-directory) to open a
+collector's configuration file. For example, edit the Nginx collector with the following:
+
+```bash
+./edit-config go.d/nginx.conf
+```
+
+Each configuration file describes every available option and offers examples to help you tweak Netdata's settings
+according to your needs. In addition, every collector's documentation shows the exact command you need to run to
+configure that collector. Uncomment any line you change to ensure the collector's orchestrator or the Netdata daemon
+read it on start.
+
+After you make your changes, restart the Agent with `service netdata restart`.
+
+## What's next?
+
+Read high-level overviews on how Netdata collects [system metrics](/docs/collect/system-metrics.md), [container
+metrics](/docs/collect/container-metrics.md), and [application metrics](/docs/collect/application-metrics.md).
+
+If you're already collecting all metrics from your systems, containers, and applications, it's time to move into
+Netdata's visualization features. [See an overview of your infrastructure](/docs/visualize/overview-infrastructure.md)
+using Netdata Cloud, or learn how to [interact with dashboards and
+charts](/docs/visualize/interact-dashboards-charts.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%2Fcollect%2Fenable-configure&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/collect/how-collectors-work.md b/docs/collect/how-collectors-work.md
new file mode 100644
index 000000000..5ae444a6f
--- /dev/null
+++ b/docs/collect/how-collectors-work.md
@@ -0,0 +1,80 @@
+<!--
+title: "How Netdata's metrics collectors work"
+description: "When Netdata starts, and with zero configuration, it auto-detects thousands of data sources and immediately collects per-second metrics."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/how-collectors-work.md
+-->
+
+# How Netdata's metrics collectors work
+
+When Netdata starts, and with zero configuration, it auto-detects thousands of data sources and immediately collects
+per-second metrics.
+
+Netdata can immediately collect metrics from these endpoints thanks to 300+ **collectors**, which all come pre-installed
+when you [install the Netdata Agent](/docs/get/README.md#install-the-netdata-agent).
+
+Every collector has two primary jobs:
+
+-   Look for exposed metrics at a pre- or user-defined endpoint.
+-   Gather exposed metrics and use additional logic to build meaningful, interactive visualizations.
+
+If the collector finds compatible metrics exposed on the configured endpoint, it begins a per-second collection job. The
+Netdata Agent gathers these metrics, sends them to the [database engine for
+storage](/docs/store/change-metrics-storage.md), and immediately [visualizes them
+meaningfully](/docs/visualize/interact-dashboards-charts.md) on dashboards.
+
+Each collector comes with a pre-defined configuration that matches the default setup for that application. This endpoint
+can be a URL and port, a socket, a file, a web page, and more.
+
+For example, the [Nginx collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx) searches
+at `http://127.0.0.1/stub_status`, which is the default endpoint for exposing Nginx metrics. The [web log collector for
+Nginx or Apache](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog) searches at
+`/var/log/nginx/access.log` and `/var/log/apache2/access.log`, respectively, both of which are standard locations for
+access log files on Linux systems.
+
+The endpoint is user-configurable, as are many other specifics of what a given collector does.
+
+## What can Netdata collect?
+
+To quickly find your answer, see our [list of supported collectors](/collectors/COLLECTORS.md).
+
+Generally, Netdata's collectors can be grouped into three types:
+
+-   [Systems](/docs/collect/system-metrics.md): Monitor CPU, memory, disk, networking, systemd, eBPF, and much more.
+    Every metric exposed by `/proc`, `/sys`, and other Linux kernel sources.
+-   [Containers](/docs/collect/container-metrics.md): Gather metrics from container agents, like `dockerd` or `kubectl`,
+    along with the resource usage of containers and the applications they run.
+-   [Applications](/docs/collect/application-metrics.md): Collect per-second metrics from web servers, databases, logs,
+    message brokers, APM tools, email servers, and much more.
+
+## Collector architecture and terminology
+
+**Collector** is a catch-all term for any Netdata process that gathers metrics from an endpoint. 
+
+While we use _collector_ most often in documentation, release notes, and educational content, you may encounter other
+terms related to collecting metrics.
+
+-   **Modules** are a type of collector.
+-   **Orchestrators** are external plugins that run and manage one or more modules. They run as independent processes.
+    The Go orchestrator is in active development.
+    -   [go.d.plugin](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/): An orchestrator for data
+        collection modules written in `go`.
+    -   [python.d.plugin](/collectors/python.d.plugin/README.md): An orchestrator for data collection modules written in
+        `python` v2/v3.
+    -   [charts.d.plugin](/collectors/charts.d.plugin/README.md): An orchestrator for data collection modules written in
+        `bash` v4+.
+    -   [node.d.plugin](/collectors/node.d.plugin/README.md): An orchestrator for data collection modules written in
+        `node.js`.
+-   **External plugins** gather metrics from external processes, such as a webserver or database, and run as independent
+    processes that communicate with the Netdata daemon via pipes.
+-   **Internal plugins** gather metrics from `/proc`, `/sys`, and other Linux kernel sources. They are written in `C`,
+    and run as threads within the Netdata daemon.
+
+## What's next?
+
+[Enable or configure a collector](/docs/collect/enable-configure.md) if the default settings are not compatible with
+your infrastructure.
+
+See our [collectors reference](/collectors/REFERENCE.md) for detailed information on Netdata's collector architecture,
+troubleshooting a collector, developing a custom collector, and more.
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fcollect%2Fhow-collectors-work&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)
diff --git a/docs/collect/system-metrics.md b/docs/collect/system-metrics.md
new file mode 100644
index 000000000..72aa5714b
--- /dev/null
+++ b/docs/collect/system-metrics.md
@@ -0,0 +1,65 @@
+<!--
+title: "Collect system metrics with Netdata"
+sidebar_label: "System metrics"
+description: "Netdata collects thousands of metrics from physical and virtual systems, IoT/edge devices, and containers with zero configuration."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/system-metrics.md
+-->
+
+# Collect system metrics with Netdata
+
+Netdata collects thousands of metrics directly from the operating systems of physical and virtual systems, IoT/edge
+devices, and [containers](/docs/collect/container-metrics.md) with zero configuration.
+
+To gather system metrics, Netdata uses roughly a dozen plugins, each of which has one or more collectors for very
+specific metrics exposed by the host. The system metrics Netdata users interact with most for health monitoring and
+performance troubleshooting are collected and visualized by `proc.plugin`, `cgroups.plugin`, and `ebpf.plugin`.
+
+[**proc.plugin**](/collectors/proc.plugin/README.md) gathers metrics from the `/proc` and `/sys` folders in Linux
+systems, along with a few other endpoints, and is responsible for the bulk of the system metrics collected and
+visualized by Netdata. It collects CPU, memory, disks, load, networking, mount points, and more with zero configuration.
+It even allows Netdata to monitor its own resource utilization!
+
+[**cgroups.plugin**](/collectors/cgroups.plugin/README.md) collects rich metrics about containers and virtual machines
+using the virtual files under `/sys/fs/cgroup`. By reading cgroups, Netdata can instantly collect resource utilization
+metrics for systemd services, all containers (Docker, LXC, LXD, Libvirt, systemd-nspawn), and more. Learn more in the
+[collecting container metrics](/docs/collect/container-metrics.md) doc.
+
+[**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. You can use our
+eBPF collector to analyze how and when a process accesses files, when it makes system calls, whether it leaks memory or
+creating zombie processes, and more.
+
+While the above plugins and associated collectors are the most important for system metrics, there are many others. You
+can find all system collectors in our [supported collectors list](/collectors/COLLECTORS.md#system-metrics).
+
+## Collect Windows system metrics
+
+Netdata is also capable of monitoring Windows systems. The [WMI
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/wmi) integrates with
+[windows_exporter](https://github.com/prometheus-community/windows_exporter), a small Go-based binary that you can run
+on Windows systems. The WMI collector then gathers metrics from an endpoint created by windows_exporter.
+
+First, [download windows_exporter](https://github.com/prometheus-community/windows_exporter#installation) and run it
+with the following collectors enabled, changing `0.14.0` to the version you downloaded.
+
+```powershell
+windows_exporter-0.14.0-amd64.exe --collectors.enabled="cpu,memory,net,logical_disk,os,system,logon"
+```
+
+Next, [configure the WMI
+collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/wmi#configuration) to point to the URL
+and port of your exposed endpoint. Restart Netdata with `service netdata restart` and you'll start seeing Windows system
+metrics, such as CPU utilization, memory, bandwidth per NIC, number of processes, and much more.
+
+For information about collecting metrics from applications _running on Windows systems_, see the [application metrics
+doc](/docs/collect/application-metrics.md#collect-metrics-from-applications-running-on-windows).
+
+## What's next?
+
+Because there's some overlap between system metrics and [container metrics](/docs/collect/container-metrics.md), you
+should investigate Netdata's container compatibility if you use them heavily in your infrastructure.
+
+If you don't use containers, skip ahead to collecting [application metrics](/docs/collect/application-metrics.md) with
+Netdata.
+
+[![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%2Fcollect%2Fsystem-metrics&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)