English ▾ English Français 日本語 Português (Brasil) українська мова 简体中文 Topics ▾ Setup and Config git config help bugr...

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. To add a project to this list, read the content guide before submitting a change. More information. Add-ons extend the functionality of Kubernetes. This page lists some of the available add-ons and links to their respective installation instructions. The list does not try to be exhaustive.

English ▾ English Français Português (Brasil) українська мова 简体中文 Topics ▾ Setup and Config git config help bugrepor...

English ▾ English Français Português (Brasil) українська мова 简体中文 Topics ▾ Setup and Config git config help bugrepor...

Operators are software extensions to Kubernetes that make use of custom resources to manage applications and their components. Operators follow Kubernetes principles, notably the control loop. Motivation The operator pattern aims to capture the key aim of a human operator who is managing a service or set of services. Human operators who look after specific applications and services have deep knowledge of how the system ought to behave, how to deploy it, and how to react if there are problems.

FEATURE STATE: Kubernetes v1.30 [stable] Pods were considered ready for scheduling once created. Kubernetes scheduler does its due diligence to find nodes to place all pending Pods. However, in a real-world case, some Pods may stay in a "miss-essential-resources" state for a long period. These Pods actually churn the scheduler (and downstream integrators like Cluster AutoScaler) in an unnecessary manner. By specifying/removing a Pod's .spec.schedulingGates, you can control when a Pod is ready to be considered for scheduling.

English ▾ English Français 日本語 Português (Brasil) українська мова 简体中文 Topics ▾ Setup and Config git config help bugr...

The aggregation layer allows Kubernetes to be extended with additional APIs, beyond what is offered by the core Kubernetes APIs. The additional APIs can either be ready-made solutions such as a metrics server, or APIs that you develop yourself. The aggregation layer is different from Custom Resource Definitions, which are a way to make the kube-apiserver recognise new kinds of object. Aggregation layer The aggregation layer runs in-process with the kube-apiserver.

Edit this Page Programmatic configuration Next to configuration files , Log4j Core can be configured programmatically...

This page shows a couple of quick ways to create a Calico cluster on Kubernetes. Before you begin Decide whether you want to deploy a cloud or local cluster. Creating a Calico cluster with Google Kubernetes Engine (GKE) Prerequisite: gcloud. To launch a GKE cluster with Calico, include the --enable-network-policy flag. Syntax gcloud container clusters create [CLUSTER_NAME] --enable-network-policy Example gcloud container clusters create my-calico-cluster --enable-network-policy To verify the deployment, use the following command.