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

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.

Scale an existing app manually using kubectl.

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.

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

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 Deutsch Français Português (Brasil) 简体中文 Topics ▾ Setup and Config git config help bugreport Creden...

This page shows how to use kubectl to list all of the Container images for Pods running in a cluster. 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. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds: