Kube-prometheus-stack

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Subscribe to our Linkedin Newsletter to receive more educational content. Observability tools provide vital data on the health and state of Kubernetes clusters. This data helps Kubernetes administrators achieve many important objectives related to system performance, resource utilization, scaling, and root cause analysis. Kubernetes does not include a built-in monitoring tool, but several tools can fill this gap with Prometheus—an open-source observability system developed at SoundCloud in and currently maintained by the CNCF—being the de-facto industry standard for monitoring Kubernetes clusters. Each component is customizable and can be installed and configured using several different methods. Kube-prometheus is a popular deployment method for the full Prometheus stack that can be easily deployed into a Kubernetes cluster.

Kube-prometheus-stack

In this article, I present a quick and maintainable way to set up and deploy Prometheus on Kubernetes. We will focus on deployment using Helm Charts and how to configure it easily. Prometheus is an open-source monitoring and alerting system. It has multiple tool components, including:. Helm Charts therefore help to define, install, and upgrade even the most complex Kubernetes application and allow controlling and maintain it easily by using a template where all Kubernetes deployment is defined. Here we will be working on mickrok8s k8s cluster, but it applies anywhere. Install Helm from script like in commands below or other way you want, but keep in mind we will be using Helm 3 here, For Helm 2 you will need Helm server Tiller as well. In this guide, instead of creating our own Prometheus template, we will use existing Helm Charts, which are available on GitHub and are well tested and maintained. When we want to change the configuration, the best approach is to create a custom template yaml file. Copy all the default values and paste them there. Then overwrite what you want to change, and remove the unmodified values, which, if not specified, will be the default. Here, you have values for default Prometheus chart.

Transform data. Grafana Kube-prometheus-stack Metrics. Or just check our created pods with kubectl get pods and consequently we should see all components working, kube-prometheus-stack.

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But there are customizations necessary to tailor the Helm installation for K3s , a lightweight Kubernetes installation. In this article, I will detail the necessary modifications to deploy a healthy monitoring stack on a K3s cluster. You must have a healthy rancher K3s cluster. If you follow the instructions in my K3S cluster on Ubuntu using Terraform article, then you will have a cluster like below, with If you do not have Helm3 installed, follow my article on Helm installation here. To support persistence and scheduling of the monitoring components across any node in the cluster, you need to provide an external Kubernetes storageclass. One that is accessible from any node in the cluster and has independent persistence. You could use a full-fledged cluster storage solution like longhorn , but I will prefer the nfs-subdir-external-provisioner from my article here. By default, K3s binds several of its management components to the localhost However, for monitoring we need these endpoints exposed so their metrics can be pulled by Prometheus.

Kube-prometheus-stack

Rate your experience required. Comments required. The kube-prometheus-stack Helm chart installs the kube-prometheus stack.

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API Get started. Queries and conditions. Configure with Prometheus ConfigMap. Analyze test results Inspect test results Inspect checks. Cloud execution context variables. Check out other articles in the technology bites category Discover tips on how to make better use of technology in projects. Export to Google Cloud. Visualize data Dashboards Use dashboards. A reference of all collectors that generate metrics provided by node-exporter can be found here. Additionally, there are several libraries for creating your own exporter. Adaptive Metrics Understand recommended rules. A diagram of the Prometheus architecture.

I recently added monitoring and alerting to my Kubernetes stack to discover and respond to failures faster.

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