All of the APIs in Kubernetes that let you write persistent API resource data support at-rest encryption. For example, you can enable at-rest encryption for Secrets. This at-rest encryption is additional to any system-level encryption for the etcd cluster or for the filesystem(s) on hosts where you are running the kube-apiserver. This page shows how to switch from encryption of API data at rest, so that API data are stored unencrypted.

This page shows how to specify extended resources for a Node. Extended resources allow cluster administrators to advertise node-level resources that would otherwise be unknown to Kubernetes. 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.

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.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

FastAPI framework, high performance, easy to learn, fast to code, ready for production

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...

English ▾ English Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Credential hel...

Extend kubectl by creating and installing kubectl plugins.

To scale an application and provide a reliable service, you need to understand how the application behaves when it is deployed. You can examine application performance in a Kubernetes cluster by examining the containers, pods, services, and the characteristics of the overall cluster. Kubernetes provides detailed information about an application's resource usage at each of these levels. This information allows you to evaluate your application's performance and where bottlenecks can be removed to improve overall performance.