Kube-prometheus-stack
In this article, I present a quick and maintainable kube-prometheus-stack to set up and deploy Prometheus on Kubernetes.
Rate your experience required. Comments required. The kube-prometheus-stack Helm chart installs the kube-prometheus stack. The kube-prometheus stack configures Prometheus Operator with a default Prometheus-Alertmanager-Grafana stack, and sets up preconfigured Grafana dashboards and Alertmanager alerts. It also configures a set of Prometheus scrape targets, and sets up node-exporter and kube-state-metrics. Prometheus Operator is a sub-component of the kube-prometheus stack. Prometheus Operator implements the Kubernetes Operator pattern for managing a Prometheus-based Kubernetes monitoring stack.
Kube-prometheus-stack
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. The stack is preconfigured to be highly available and collect metrics specific to Kubernetes clusters. In this article, we will review the kube-prometheus monitoring stack for Kubernetes clusters, including a walk-through of exactly how to install Kube Prometheus yourself. Kubernetes is a complex system, and cluster administrators require observability tools to monitor the health and state of the systems. Kube-prometheus can monitor system performance. Common examples of performance monitoring include application HTTP request response time and underlying infrastructure performance. Prometheus can collect data on HTTP response times and show if the applications are responding quickly. The load balancerthroughput measures how many total requests are being processed.
To provide insight into and monitor the state of kube-prometheus-stack Kubernetes cluster and the deployments running in it. The kube-prometheus-stackchart can be found in the prometheus-community Helm repo, and it provides a similar feature set to 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.
Kube-prometheus-stack
Rate your experience required. Comments required. The kube-prometheus-stack Helm chart installs the kube-prometheus stack. The kube-prometheus stack configures Prometheus Operator with a default Prometheus-Alertmanager-Grafana stack, and sets up preconfigured Grafana dashboards and Alertmanager alerts. It also configures a set of Prometheus scrape targets, and sets up node-exporter and kube-state-metrics. Prometheus Operator is a sub-component of the kube-prometheus stack. Prometheus Operator implements the Kubernetes Operator pattern for managing a Prometheus-based Kubernetes monitoring stack. A Kubernetes Operator consists of Kubernetes custom resources and controller code that abstract away the management and implementation details of running a given service on Kubernetes.
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Configure a legend. On-call status. Incoming webhooks. Adaptive Metrics API. Configure Grafana Agent. Correlate results in Grafana. Kube-prometheus uses the Prometheus Operator to simplify and automate the setup of this stack. Cert Manager. Prev Next. Node-exporter Node-exporter is a daemonset of the image quay.
I recently added monitoring and alerting to my Kubernetes stack to discover and respond to failures faster.
Integrations Atlassian Jira. Send custom logs. Policy Server. This exporter exports metrics directly from the Kubernetes API server. Default port for Prometheus dashboard is The default scrape frequency for Kubernetes metrics is 30 seconds. Inspect logs. Grafana enables visualization with a set of prebuilt Kubernetes dashboards. Azure Metrics. Synthetic Monitoring alerting. Use dashboards. TensorFlow Serving.
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