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How to monitor Kata Containers in Kubernetes clusters

This document describes how to run kata-monitor in a Kubernetes cluster using Prometheus's service discovery to scrape metrics from kata-agent.

Warning: This how-to is only for evaluation purpose, you SHOULD NOT running it in production using this configurations.

Introduction

If you are running Kata containers in a Kubernetes cluster, the best way to run kata-monitor is using Kubernetes native DaemonSet, kata-monitor will run on desired Kubernetes nodes without other operations when new nodes joined the cluster.

Prometheus also support a Kubernetes service discovery that can find scrape targets dynamically without explicitly setting kata-monitor's metric endpoints.

Pre-requisites

You must have a running Kubernetes cluster first. If not, install a Kubernetes cluster first.

Also you should ensure that kubectl working correctly.

Note: More information about Kubernetes integrations:

Configure Prometheus

Start Prometheus by utilizing our sample manifest:

$ kubectl apply -f https://raw.githubusercontent.com/kata-containers/kata-containers/main/docs/how-to/data/prometheus.yml

This will create a new namespace, prometheus, and create the following resources:

  • ClusterRole, ServiceAccount, ClusterRoleBinding to let Prometheus to access Kubernetes API server.
  • ConfigMap that contains minimum configurations to let Prometheus run Kubernetes service discovery.
  • Deployment that run Prometheus in Pod.
  • Service with type of NodePort(30909 in this how to), that we can access Prometheus through <hostIP>:30909. In production environment, this type may be LoadBalancer or Ingress resource.

After the Prometheus server is running, run curl -s http://hostIP:NodePort:30909/metrics, if Prometheus is working correctly, you will get response like these:

# HELP go_gc_duration_seconds A summary of the GC invocation durations.
# TYPE go_gc_duration_seconds summary
go_gc_duration_seconds{quantile="0"} 3.9403e-05
go_gc_duration_seconds{quantile="0.25"} 0.000169907
go_gc_duration_seconds{quantile="0.5"} 0.000207421
go_gc_duration_seconds{quantile="0.75"} 0.000229911

Configure kata-monitor

kata-monitor can be started on the cluster as follows:

$ kubectl apply -f https://raw.githubusercontent.com/kata-containers/kata-containers/main/docs/how-to/data/kata-monitor-daemonset.yml

This will create a new namespace kata-system and a daemonset in it.

Once the daemonset is running, Prometheus should discover kata-monitor as a target. You can open http://<hostIP>:30909/service-discovery and find kubernetes-pods under the Service Discovery list

Setup Grafana

Run this command to run Grafana in Kubernetes:

$ kubectl apply -f https://raw.githubusercontent.com/kata-containers/kata-containers/main/docs/how-to/data/grafana.yml

This will create deployment and service for Grafana under namespace prometheus.

After the Grafana deployment is ready, you can open http://hostIP:NodePort:30000/ to access Grafana server. For Grafana 7.0.5, the default user/password is admin/admin. You can modify the default account and adjust other security settings by editing the Grafana configuration.

To use Grafana show data from Prometheus, you must create a Prometheus datasource and dashboard.

Create datasource

Open http://hostIP:NodePort:30000/datasources/new in your browser, select Prometheus from time series databases list.

Normally you only need to set URL to http://hostIP:NodePort:30909 to let it work, and leave the name as Prometheus as default.

Import dashboard

A sample dashboard for Kata Containers metrics is provided which can be imported to Grafana for evaluation.

You can import this dashboard using Grafana UI, or using curl command in console.

$ curl -XPOST -i localhost:3000/api/dashboards/import \
    -u admin:admin \
    -H "Content-Type: application/json" \
	-d "{\"dashboard\":$(curl -sL https://raw.githubusercontent.com/kata-containers/kata-containers/main/docs/how-to/data/dashboard.json )}"

References