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
KUBERNETES cluster to build the basic environmentSystem Environment # Cat/etc/redhat-releasecentos Linux release 7.3.1611 (Core)
Host name Settings Centos-master 192.168.59.135centos-minion1 192.168.59.132centos-minion2 192.168.59.133Restart server after SELinux and Firewalld are turned off# systemctl Stop firewalld# systemctl disable firewalld# setenforce 0# sed-i ' s/^selinux=.*/selinux=disableds/'/etc/seli Nux/configMaster Node Installation D
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
This article describes how to quickly deploy a set of kubernetes clusters, so let's get started quickly!
Preparatory work//关闭防火墙systemctl stop firewalld.servicesystemctl disable firewalld.service//关闭selinux,修改/etc/selinux/configSELINUX=disabledMachine Deployment Planning
Host
IP
Deploying Components
Master Master Node
192.168.199.206
ETCD, Kube-apiserver, Kube-controller-manager, Kube-sch
Kubernetes components and role distribution component functions:
-Etcd a highly available k/v key value to the storage and service discovery system-Flannel The communication of the container network of the boast host-Kube-apiserver provides API calls to Kubernetes clusters-Kube-controller-manager ensure Cluster service-Kube-scheduler dispatch container, assign to Node-Kubelet boot container on node
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Article, where the information may have evolved or changed.
Kris Nova, of Microsoft, shares lessons on over-engineering from she experience contributing to Kubernetes Kops. In hers spare time, she runs a Kubernetes special Interest Group bringing Kubernetes to AWS, all and working on Microsoft Acs. She ' s writing a book called Cloud Native
The role of Kubernetes Scheduler is to bind controller manager to a new pod according to a specific scheduling algorithm and scheduling policy to a suitable node in the cluster, and to write the binding information to the ETCD.I. Deployment OF SchedulerThe following generates the Kube-scheduler Kubeconfig file, as follows:cd/etc/kubernetesexport kube_apiserver="https://192.168.15.200:6443"Configure clusterKubectl config set---certificate-authority=/et
Brief Description:Using the Rke tool, on the 192.168.3.161 machine, create a kubernetes cluster with two nodes (192.168.3.162 and 192.168.3.163). Rke automatically creates KUBE_CONFIG_CLUSTER.YML configuration files in the/home/user directory.On another server (192.168.3.160), run the Rancher Server 2.0 container. After running, use the https://192.168.3.160 address to access Rancher Server 2.0 preview. (Note: No longer the previous 8080 port)In the R
Brief description:Using the Rke tool, on the 192.168.3.161 machine, create a kubernetes cluster with two nodes (192.168.3.162 and 192.168.3.163). Rke automatically creates KUBE_CONFIG_CLUSTER.YML configuration files in the/home/user directory.On another server (192.168.3.160), run the Rancher Server 2.0 container. After running, use the https://192.168.3.160 address to access Rancher Server 2.0 preview. (Note: No longer the previous 8080 port)In the R
previous Chapters Kubernetes All operations we are using command line tools kubectl completed. To provide a richer user experience, Kubernetes also developed a WEB-based Dashboard that enables users to deploy containerized applications with Kubernetes Dashboard, monitor the status of applications, perform troubleshooting tasks, and manage
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K8s Offline installation package Three-step installation, simple to unbelievable
Kubeadm Source Code Analysis
To say the truth, Kubeadm code is sincere, the quality is not very high.
A few key points to first talk about some of the core things Kubeadm did:
Kubeadm Generate certificate in/etc/kubernetes/pki directory
Kubeadm generate a static pod Yaml configurati
Introduction and practice of pod in kubernetes
The concept of podDetailed pod explanation can refer to k8s official website, the concept of pod mainly has the following points:(1) Pod is the smallest and simplest unit that you can create and deploy in Kubernetes. A pod represents a process that runs in a cluster;(2) How to use pod in kubrenetes cluster;(3) How to manage multiple containers in pod
Unde
[TOC]Introduction to Kubernetes DispatchingIn addition to having the Kubernetes cluster scheduler automatically select a node for the pod resource (the default schedule is that the resources are sufficient and the load is as average as possible), there are situations where we want to have more control over how the pod should be dispatched. For example, some of the machines in the cluster are better configur
Kubernetes is Google 's Open source container cluster management system. It is built on Docker technology and provides a whole set of functions, such as resource scheduling, deployment operation, service discovery, expansion and contraction capacity, for containerized applications, which can be regarded as Mini-paas platform based on container technology. The purpose of this article is to comb the architecture, concepts, and basic workflows of
Official Document: HTTPS://WWW.KUBERNETES.ORG.CN/DOC-11The Kubernetes cluster contains the node agent Kubelet and master components (APIs, scheduler, etc), all based on a distributed storage system. The following diagram is an architectural diagram of the kubernetes.Kubernetes nodeIn this system architecture diagram, we divide the service into services running on the work nodes and the services that make up the cluster-level dashboard.The
Service discovery mechanism Kubernetes provides two ways to discover the service:1. Environment Variables When the pod is running, Kubernetes writes the information for the service that existed before This method requires that the pod must be started after the service. The pod that was started before the service will not have an environment variable for that service. There is no such limit in the way
Kubernetes Important Concept UnderstandingKubernetes is currently the most mainstream container orchestration tool, the next generation of distributed architecture of the king. 2018 Kubernetes The first version 1.10 has been released. Here's a look at some of the basic concepts of kubernetes.The kubernetes divides the machines in the cluster into master nodes and
Operational environment readiness and related software requirements1. Production-grade Kubernetes cluster recommended 1.8 or later2.Gitlab Docker Image Slpcat/gitlab-ce3.Jenkins Docker ImageJenkins master image Slpcat/kube-jenkins-service has been installed with various plugins required, preconfigured with Kubernetes management Jenkins slave Jenkins slave image slpcat/kube- Jenkins-dind-agentSupport for JNL
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