This page guides you through configuring Node overprovisioning in your Kubernetes cluster. Node overprovisioning is a strategy that proactively reserves a portion of your cluster's compute resources. This reservation helps reduce the time required to schedule new pods during scaling events, enhancing your cluster's responsiveness to sudden spikes in traffic or workload demands. By maintaining some unused capacity, you ensure that resources are immediately available when new pods are created, preventing them from entering a pending state while the cluster scales up.

This task outlines the steps needed to update your container runtime to containerd from Docker. It is applicable for cluster operators running Kubernetes 1.23 or earlier. This also covers an example scenario for migrating from dockershim to containerd. Alternative container runtimes can be picked from this page. Before you begin Note: This section links to third party projects that provide functionality required by Kubernetes. The Kubernetes project authors aren't responsible for these projects, which are listed alphabetically.

What's Kompose? It's a conversion tool for all things compose (namely Docker Compose) to container orchestrators (Kubernetes or OpenShift). More information can be found on the Kompose website at https://kompose.io/. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.

Kubernetes auditing provides a security-relevant, chronological set of records documenting the sequence of actions in a cluster. The cluster audits the activities generated by users, by applications that use the Kubernetes API, and by the control plane itself. Auditing allows cluster administrators to answer the following questions: what happened? when did it happen? who initiated it? on what did it happen? where was it observed? from where was it initiated?

Monitoring kubernetes system components.

This task demonstrates running multiple Jobs based on a common template. You can use this approach to process batches of work in parallel. For this example there are only three items: apple, banana, and cherry. The sample Jobs process each item by printing a string then pausing. See using Jobs in real workloads to learn about how this pattern fits more realistic use cases. Before you begin You should be familiar with the basic, non-parallel, use of Job.

FEATURE STATE: Kubernetes v1.35 [beta](enabled by default) This page shows how to configure a pod using image volumes. This allows you to mount content from OCI registries inside containers. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.

Logging architecture and system logs.

Set up monitoring and logging to troubleshoot a cluster, or debug a containerized application.

The Kubernetes API server provides API endpoints to indicate the current status of the API server. This page describes these API endpoints and explains how you can use them. API endpoints for health The Kubernetes API server provides 3 API endpoints (healthz, livez and readyz) to indicate the current status of the API server. The healthz endpoint is deprecated (since Kubernetes v1.16), and you should use the more specific livez and readyz endpoints instead.