how to install kubernetes

On the left is my personal, if you need further communication, please add. On the right is my public number "OpenStack private cloud", if interested, please pay attention.in the previous post, " Kubernetes Getting Started learning mentioned in the Katacoda experimental environment can be further familiar with the use of k8s , the specific URL is: https://www.katacoda.com/courses/kubernetes/Recently spent s

The content of this article has been validated based on k8s v1.8.8. K8s Service defines the access entry address of a server, the front-end application accesses a cluster of pod replicas behind it through this entry address, and the access requests from outside are load balanced to each container application on the back end. Between the service and the back-end pod replica cluster, the docking is done through the label selector. The function of RC is to ensure service ability and service quality

The content of this section: Traefik Introduction Two services deployed for testing Role Based Access Control configuration (Kubernetes 1.6+ only) Deploying Traefik Deploying Ingress Deploying the Traefik UI Access test Health Check I. Introduction of TraefikTraefik is a front-end load balancer with good support for orchestration tools such as MicroServices architecture, especially

Docker+kubernetes (k8s) micro-service container Practice": HTTPS://PAN.BAIDU.COM/S/16RTL8DBMFUWJKEKZRD9EMW"Let's get started.What is Kubernetes?Kubernetes (k8s) is an open source platform for automating container operations, including deployment, scheduling, and Inter-node cluster expansion. If you've ever used Docker container technology to deploy containers, yo

Guide to Questions1. What is kubernetes.2. Try new features in the Kubernetes cluster and how to implement it.3. Watch the spark resource created on the cluster and how to operate it.We need to know before we start.What is KubernetesKubernetes (usually written as "k8s") is the first open source container cluster management project that was ultimately contributed by Google Design and development to Cloud Nat

Ubernetes is the King of container orchestration and scheduling, it beats the competitors Docker swarm and Apache Mesos, opens the bright future, microservices can be self-repairing, can be automatically expanded, can cross zone, Region even across cloud providers for federate. In this new era of cloud-native applications, it is becoming increasingly important to have a simple insight into how services interact with each other, which can be different from a haystack-wide search for a specific ca

1. Reference documentationhttp://traefik.cn/2. Simple way to accessReference documentshttps://tonybai.com/2018/06/25/the-kubernetes-ingress-practice-for-https-service/Previous: Traefik Basic deployment record, describes the simplest HTTP access Traefik, the access process reference is shown below:Client---(via HTTP)---> Traefik----(via HTTP)----;? ServicesNow to practice is more secure and more complex HTTPS access Traefik, there are two kinds of acce

0. Preface Overall architecture directory: ASP. NET core distributed project-Directory k8s Schema Catalog: Kubernetes (K8S) cluster deployment (K8S Enterprise Docker container cluster Management) series catalog 1. Deploy Master Components The components of the master server are: Kube-apiserver, Kube-controller-manager, Kube-scheduler So you need to download k8s master,:github.com/kubernetes/

Kubernetes has developed a Elasticsearch add-on to enable log management of the cluster. This is a combination of Elasticsearch, FLUENTD and Kibana. Elasticsearch is a search engine that is responsible for storing logs and providing query interfaces; Fluentd is responsible for collecting logs from Kubernetes and sending Elasticsearch;kibana a Web GUI that users can browse and search for stored in Logs in th

This article CSDN blog address: http://blog.csdn.net/huwh_/article/details/71308171First, the kubernetes of the general structure of the two, kubernetes each component introduction (a) kube-master[control node] Workflow Flowchart for Master Kubecfg sends a specific request, such as creating a pod, to the Kubernetes Client.

-speed storage to store a large number of fragmented files. What the user needs to do is submit the resource request to the cloud platform and then fetch and consume the storage resource without worrying about which disk of the storage server The underlying store is from. to meet the storage needs of container users in the cloud environment. Kubernetes provides the concept of persistent volumes (PERSISTENTVOLUME,PV) and persistent volume requests (PE

/mk-docker-opts.sh/usr/bin5.3.4, configurationVi/etc/sysconfig/flanneldAdd to:# Flanneld configuration options# ETCD URL LocationFlannel_etcd= "http://centos-master:2379"# ETCS Config keyflannel_etcd_key= "/coreos.com/network"# any additonal options#FLANNEL_OPTIONS =5.3.5, editing service files/usr/lib/systemd/system/flanneld.serviceAdd to:[Unit]Description=flanneld Overlay Address ETCD AgentAfter=network.targetBefore=docker.service[Service]Type=notifyEnvironmentfile=-/etc/sysconfig/flanneldEnvi

#vim/etc/docker/daemon.json{ "exec-opts" : [ "NATIVE.CGROUPDRIVER=CGROUPFS" ]}#systemctl Enable Docker systemctl start Docker #/etc/yum.repos.d/kubernetes.repo [Kubernetes]Name=kubernetesBaseurl=https://packages.cloud.google.com/yum/repos/kubernetes-el7-x86_64Enabled=1Gpgcheck=1Repo_gpgcheck=1GPGKEY=HTTPS://PACKAGES.CLOUD.GOOGLE.COM/YUM/DOC/YUM-KEY.GPG HTTPS://PACKAGES.CLOUD.GOOGLE.COM/YUM/DOC/RPM-PACKA

[TOC]Brief introductionIn many scenarios, the following initialization is required before the application starts: Wait for other associated components to run correctly (for example, a database or a background service) Generate a configuration file based on an environment variable or a configuration template Get the local desired configuration from the remote database, or register itself in a central database Download the dependent packages or perform some pre-configuration a

The essence of swarm and k8s are container orchestration services.They can abstract the underlying host, and then start the application from a built-in image and eventually deploy it to a host on a docker basis. Which scenario should be chosen as our container cloud service? I think k8s (kubernetes short) and swarm compared to MySQL and SQL Server comparison, the former lightweight, implementation fast, in order to achieve core functions, more suitabl

This is a creation in Article, where the information may have evolved or changed. kubectlFunctions that are actually running ( k8s.io/kubernetes/pkg/kubectl/app/kubectl.go ): func Run() error { cmd := cmd.NewKubectlCommand(cmdutil.NewFactory(nil), os.Stdin, os.Stdout, os.Stderr) return cmd.Execute()} NewKubectlCommandThe code ( k8s.io/kubernetes/pkg/kubectl/cmd/cmd.go ): //Newkubectlcommand creates t

A description of the application scenarioContinuous tracking research kubernetes also for some time, kubernetes as Google open-source production-level container scheduling system from open source has received a lot of attention. A number of research and development companies have researched Kubernetes's design concepts and application scenarios and soon organized developers to combine

The content of this section: Service Discovery and load balancing Ingress Combat First, service discovery and load balancingIn the previous installation deployment Kubernetes cluster, it was simple to demonstrate that pod and Service,kubernetes implemented service discovery and load balancing for containers within the Kubernetes cluster through

Download deployment Files according to official documentshttps://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yamlEdit this and replace the role name with the following command implementation: Create Kubernetes-dashboard-rbac.yamlDownload the deployment file, there is a place to note, it is created in

pod (which can also be understood as a container) to communicate with each other, you cannot use the default network segment provided by DOCKER0, we need to deploy an overlay network, so that each node nodes Docker0 Network is in a different network segment, so that By adding some routing and forwarding policies, each pod in the cluster can communicate in the same virtual network. 1. Write Flanneld's systemd file here:# cat /usr/lib/systemd/system/flanneld.service [Unit]Description=Flannel