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

Perform a rolling update using kubectl.

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

Configure and schedule GPUs for use as a resource by nodes in a cluster.

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

This page shows how to create a Kubernetes Service object that exposes an external IP address. Before you begin Install kubectl. Use a cloud provider like Google Kubernetes Engine or Amazon Web Services to create a Kubernetes cluster. This tutorial creates an external load balancer, which requires a cloud provider. Configure kubectl to communicate with your Kubernetes API server. For instructions, see the documentation for your cloud provider. Objectives Run five instances of a Hello World application.

This tutorial shows you how to build and deploy a simple (not production ready), multi-tier web application using Kubernetes and Docker. This example consists of the following components: A single-instance Redis to store guestbook entries Multiple web frontend instances Objectives Start up a Redis leader. Start up two Redis followers. Start up the guestbook frontend. Expose and view the Frontend Service. Clean up. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

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