This task shows how to create a frontend and a backend microservice. The backend microservice is a hello greeter. The frontend exposes the backend using nginx and a Kubernetes Service object. Objectives Create and run a sample hello backend microservice using a Deployment object. Use a Service object to send traffic to the backend microservice's multiple replicas. Create and run a nginx frontend microservice, also using a Deployment object. Configure the frontend microservice to send traffic to the backend microservice.

This page shows how to install a custom resource into the Kubernetes API by creating a CustomResourceDefinition. 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:

Production-Grade Container Orchestration

The Kubernetes API is a resource-based (RESTful) programmatic interface provided via HTTP. It supports retrieving, creating, updating, and deleting primary resources via the standard HTTP verbs (POST, PUT, PATCH, DELETE, GET). For some resources, the API includes additional subresources that allow fine-grained authorization (such as separate views for Pod details and log retrievals), and can accept and serve those resources in different representations for convenience or efficiency. Kubernetes supports efficient change notifications on resources via watches: in the Kubernetes API, watch is a verb that is used to track changes to an object in Kubernetes as a stream.

This tutorial demonstrates running Apache Zookeeper on Kubernetes using StatefulSets, PodDisruptionBudgets, and PodAntiAffinity. Before you begin Before starting this tutorial, you should be familiar with the following Kubernetes concepts: Pods Cluster DNS Headless Services PersistentVolumes StatefulSets PodDisruptionBudgets PodAntiAffinity kubectl CLI You must have a cluster with at least four nodes, and each node requires at least 2 CPUs and 4 GiB of memory. In this tutorial you will cordon and drain the cluster's nodes.

FEATURE STATE: Kubernetes v1.10 [stable] kubeadm init and kubeadm join together provide a nice user experience for creating a bare Kubernetes cluster from scratch, that aligns with the best-practices. However, it might not be obvious how kubeadm does that. This document provides additional details on what happens under the hood, with the aim of sharing knowledge on the best practices for a Kubernetes cluster. Core design principles The cluster that kubeadm init and kubeadm join set up should be:

This page contains list of feature gates that have been removed. The information on this page is for reference. A removed feature gate is different from a GA'ed or deprecated one in that a removed one is no longer recognized as a valid feature gate. However, a GA'ed or a deprecated feature gate is still recognized by the corresponding Kubernetes components although they are unable to cause any behavior differences in a cluster.

Resource Types KubeProxyConfiguration FormatOptions Appears in: LoggingConfiguration FormatOptions contains options for the different logging formats. FieldDescription text [Required] TextOptions [Alpha] Text contains options for logging format "text". Only available when the LoggingAlphaOptions feature gate is enabled. json [Required] JSONOptions [Alpha] JSON contains options for logging format "json". Only available when the LoggingAlphaOptions feature gate is enabled. JSONOptions Appears in: FormatOptions JSONOptions contains options for logging format "json". FieldDescription OutputRoutingOptions [Required] OutputRoutingOptions (Members of OutputRoutingOptions are embedded into this type.

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contrib.symbol Symbol namespace used to register contrib functions Functions AdaptiveAvgPooling2D ([data, kernel, …])...