diff options
author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 02:57:58 +0000 |
---|---|---|
committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 02:57:58 +0000 |
commit | be1c7e50e1e8809ea56f2c9d472eccd8ffd73a97 (patch) | |
tree | 9754ff1ca740f6346cf8483ec915d4054bc5da2d /docs/collect/container-metrics.md | |
parent | Initial commit. (diff) | |
download | netdata-be1c7e50e1e8809ea56f2c9d472eccd8ffd73a97.tar.xz netdata-be1c7e50e1e8809ea56f2c9d472eccd8ffd73a97.zip |
Adding upstream version 1.44.3.upstream/1.44.3upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | docs/collect/container-metrics.md | 101 |
1 files changed, 101 insertions, 0 deletions
diff --git a/docs/collect/container-metrics.md b/docs/collect/container-metrics.md new file mode 100644 index 00000000..b5ccca5a --- /dev/null +++ b/docs/collect/container-metrics.md @@ -0,0 +1,101 @@ +<!-- +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" +learn_status: "Published" +learn_topic_type: "Concepts" +learn_rel_path: "Concepts" +--> + +# 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](https://github.com/netdata/netdata/blob/master/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](https://github.com/netdata/netdata/blob/master/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](https://github.com/netdata/go.d.plugin/blob/master/modules/docker/README.md) or [Docker +Engine](https://github.com/netdata/go.d.plugin/blob/master/modules/docker_engine/README.md). You can find all +container collectors in our supported collectors list under the +[containers/VMs](https://github.com/netdata/netdata/blob/master/collectors/COLLECTORS.md#containers-and-vms) and +[Kubernetes](https://github.com/netdata/netdata/blob/master/collectors/COLLECTORS.md#containers-and-vms) headings. + +## Collect Docker metrics + +Netdata has robust Docker monitoring thanks to the aforementioned +[cgroups.plugin](https://github.com/netdata/netdata/blob/master/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://github.com/netdata/go.d.plugin/blob/master/modules/mysql/README.md) 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://github.com/netdata/go.d.plugin/blob/master/modules/mysql/README.md#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](https://github.com/netdata/netdata/blob/master/collectors/REFERENCE.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](https://github.com/netdata/netdata/blob/master/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](https://github.com/netdata/netdata/blob/master/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 alert 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://github.com/netdata/go.d.plugin/blob/master/modules/prometheus/README.md). With these + configuration files, Netdata collects metrics from any compatible applications as they run _inside_ a pod. + Service discovery happens without manual intervention as pods are created, destroyed, or moved between nodes. +- A [Kubelet collector](https://github.com/netdata/go.d.plugin/blob/master/modules/k8s_kubelet/README.md), 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://github.com/netdata/go.d.plugin/blob/master/modules/k8s_kubeproxy/README.md), which + also runs on each node and monitors latency and the volume of HTTP requests to the proxy. +- A [cgroups collector](https://github.com/netdata/netdata/blob/master/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://github.com/netdata/netdata/blob/master/docs/guides/monitor/kubernetes-k8s-netdata.md). + +## 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](https://github.com/netdata/netdata/blob/master/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](https://github.com/netdata/netdata/blob/master/docs/visualize/overview-infrastructure.md) using Netdata Cloud. + + |