FEATURE STATE: Kubernetes v1.22 [alpha] This document describes how to run Kubernetes Node components such as kubelet, CRI, OCI, and CNI without root privileges, by using a user namespace. This technique is also known as rootless mode. Note:This document describes how to run Kubernetes Node components (and hence pods) as a non-root user. If you are just looking for how to run a pod as a non-root user, see SecurityContext.

FEATURE STATE: Kubernetes v1.21 [stable] This page shows how to limit the number of concurrent disruptions that your application experiences, allowing for higher availability while permitting the cluster administrator to manage the clusters nodes. Before you begin Your Kubernetes server must be at or later than version v1.21. To check the version, enter kubectl version. You are the owner of an application running on a Kubernetes cluster that requires high availability.

FEATURE STATE: Kubernetes v1.35 [beta](disabled by default) Kubernetes relies on API data being actively re-written, to support some maintenance activities related to at rest storage. Two prominent examples are the versioned schema of stored resources (that is, the preferred storage schema changing from v1 to v2 for a given resource) and encryption at rest (that is, rewriting stale data based on a change in how the data should be encrypted).

Glossary This glossary is intended to be a comprehensive, standardized list of Kubernetes terminology. It includes te...

FEATURE STATE: Kubernetes v1.34 [beta] This page provides an overview of MutatingAdmissionPolicies. MutatingAdmissionPolicies allow you to change what happens when someone writes a change to the Kubernetes API. If you want to use declarative policies just to prevent a particular kind of change to resources (for example: protecting platform namespaces from deletion), ValidatingAdmissionPolicy is a simpler and more effective alternative. To use the feature, enable the MutatingAdmissionPolicy feature gate (which is off by default) and set --runtime-config=admissionregistration.

In this example, you will run a Kubernetes Job with multiple parallel worker processes. In this example, as each pod is created, it picks up one unit of work from a task queue, completes it, deletes it from the queue, and exits. Here is an overview of the steps in this example: Start a message queue service. In this example, you use RabbitMQ, but you could use another one. In practice you would set up a message queue service once and reuse it for many jobs.

Production-Grade Container Orchestration

Objectives Scale an existing app manually using kubectl. Scaling an application You can create from the start a Deployment with multiple instances using the --replicas parameter for the kubectl create deployment command. Previously we created a Deployment, and then exposed it publicly via a Service. The Deployment created only one Pod for running our application. When traffic increases, we will need to scale the application to keep up with user demand.

Extend kubectl by creating and installing kubectl plugins.

Production-Grade Container Orchestration