openshift kubernetes

This is a creation in Article, where the information may have evolved or changed. The first time I installed Kubernetes 1.3.7 Cluster with the kube-up.sh script, I have successfully installed Kubernetes dashboard addon OK. So far the operation in this environment is very stable. However, after all, it is a test environment, some configurations can not meet the requirements of the production environment, suc

Kubernetes v1.10----Deployment Kubernetes-dashboard v1.831. Download Kubernetes-dashboard yaml file#因为文件中的image指定的是谷歌, so you cannot deploy directly using applywget Https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml

This is a creation in Article, where the information may have evolved or changed. The reason why Kubernetes is cool Objective When I first learned it Kubernetes (about 1.5 ago?) I really can't find a reason to pay attention to it. Uttered, I've been using it Kubernetes for almost three months. About why I think it is very useful, with some ideas, although I am st

1. Basic architecture1.1 MasterThe master node consists mainly of four modules: Apiserver, Scheduler, controller manager, ETCD.　　　　apiserver. Apiserver is responsible for providing restful Kubernetes API service, it is the unified entrance of the System Management Directive, any operation that increases and deletions the resources should be handed over to apiserver processing and then submitted to ETCD. As shown in the architecture diagram, KUBECTL (t

Given the popularity of Docker, Google launched Kubernetes management docker cluster, and many people are expected to try. Kubernetes is supported by a large number of companies, and the Kubernetes Cluster deployment Tool integrates the IaaS platform such as Gce,coreos,aws, which is also very convenient to deploy. Given that many of the online materials are based

Analysis of Kubernetes Application Deployment model (Principles) Abstract: this series of articles focus on actual deployment and give you a quick grasp of Kubernetes. This article describes the principles and concepts that need to be understood before deployment, including the Kubernetes component structure, functions of each component role, and

78480241First, Background introduction 众所周知，由于国内网络原因，在搭建 Kubernetes 环境时，经常遇到必须的镜像找不到的情况。 到 DockerHub 捡垃圾毕竟不是个好办法，本文就教大家在 DockerHub 搭建自己的镜像仓库。 要求：有 GitHub 账号，有 DockerHub 账号，没有请注册。Ii. Basic Steps2.1 登陆 GitHub，创建代码仓库，比如：googlecontainer2.2 克隆代码（地址换成你的）#git Clone Https://github.com/SataQiu/googlecontainer.git2.3 Writing Dockerfile (take dashboard as an example)[Plain] View plain copy#cd Googlecontainer#mkdir Dashboard#cd Dashboard#vi

Deploying Heketi and Glusterfs in Kubernetes (ii)In the previous section, Heketi was not deployed in a production environment because the data for the Heketi pod was not persisted, causing Heketi data loss and Heketi data saved in/var/lib/heketi/heketi.dbfile, you need to mount this directory to Glusterfs distributed storage.Follow the steps in the previous section to perform HEKETI-CLI topology load--json=topology-sample.json$ echo $HEKETI_CLI_SERVER

1. Download ETCD PackageWgethttps://github.com/coreos/etcd/releases/download/v3.2.18/etcd-v3.2.18-linux-amd64.tar.gz[email protected] src]# TAR-ZXVF etcd-v3.2.18-linux-amd64.tar.gz[email protected] src]# CD ETCD-V3.2.18-LINUX-AMD64[email protected] etcd-v3.2.18-linux-amd64]# CP ETCD etcdctl/opt/kubernetes/bin/[email protected] etcd-v3.2.18-linux-amd64]# SCP etcd etcdctl 192.168.43.22:/opt/kubernetes/bin/[em

First of all, to everyone popular science under the kubernetes choice of the network interface, a brief introduction of the network implementation of the background.The container network Interface is a set of container networks definition specification, including method specification, parameter specification, response specification and so on. The MLM only requires that network resources be freed when the container is created, when the container is all

With such a large amount of data, there may be thousands of machines behind it, unable to manually monitor the state of the machine. Therefore, this article introduces the use of the Kubernetes container management tool and, through a simple example, tells you how to build a Spark cluster. Preparation Phase 1. You need to have a running kubernetes cluster and use KUBECTL to configure access permissions for

Once again, the architecture is clear: three virtual machine CentOS 7.4 systems, Docker 17, IP 10.10.90.105 to 107, 105-bit master, and the next master-related components installed on this machine.The ETCD cluster is 3 units, which are reused for each of the 3 virtual machines.As the core of k8s, the master node consists of three components, namely:Three components:kube-apiserverkube-schedulerkube-controller-managerThis three components are closely linked1. Create a TLS certificateThese certific

Alena Prokharchyk, Chief software engineer at Rancher Labs, was invited to give a presentation at the Kubernetes + Kubecon 2017 North American Summit, hosted by CNCF in December 2017 6-8th. This article is organized by the content of the lecture.As Kubernetes is becoming more and more popular, the number of integration and monitoring services around it is growing. The key component of all such services writ

This is a creation in Article, where the information may have evolved or changed. "Editor's note" 2016 CLUSTERHQ Container Technology application Survey report shows that the proportion of container technology applied to production has increased over the past year, and the utilization rate of 96%,kubernetes has reached 40%, becoming the most popular container orchestration tool; So what is kubernetes? It is

Notes on basic concepts of Kubernetes Kubernetes (K8s) is an open-source system for automatically deploying, scaling, and managing containerized applications. It is an "open-source version" of Google's internal tool Borg ". Kubernetes is currently recognized as the most advanced container cluster management tool. After the release of

Docker enables more convenient management of single-machine container virtualization, where Docker is located between the operating system layer and the application layer; Relative traditional virtualization (Kvm,xen):Docker can be more flexible to implement some of the application layer functions, while the utilization of resources is also higher Relative application:Docker can better combine applications with more operating systems (mirroring), reducing the cost of deployment and