kubernetes ubuntu

This is a creation in Article, where the information may have evolved or changed. When the code is compiled k8s , k8s a folder is generated in the root directory _output , and folders are also included under this folder local : ~/kubernetes/_output/local$ lsbin go goThe folder is a standard Go language workspace : :~/kubernetes/_output/local/go$ ls -alttotal 20drwxrwxr-x 4 nan nan 4096 Dec 9 22:09 ..drwxr

As we all know, kubernetes (k8s) is used for the management of Docker cluster, the recent period of time has been tossing the environment, here to write a blog, to help like me, small white, avoid detours. First, the environment Cluster environment Role IP Address Version number Docker version System version Master 192.63.63.1/24 v1.9.1 17.12.0-ce Centos7.1 Node1 192.63.63.10/24

Brief Description:This article covers 3 Ubuntu machines, 1 Rke deployment Machines (192.168.3.161), 2 kubernetes cluster machines (3.162 and 3.163).On the Windows machine, download the rke_linux-amd64 from GitHub, rename it to Rke, edit the cluster.yml cluster deployment file, and upload the file to the 3.161 machine using the PSCP command provided by Putty. On the 3.161 machine, execute the rke command to

Brief description:This article covers 3 Ubuntu machines, 1 Rke deployment Machines (192.168.3.161), 2 kubernetes cluster machines (3.162 and 3.163).On the Windows machine, download the rke_linux-amd64 from GitHub, rename it to Rke, edit the cluster.yml cluster deployment file, and upload the file to the 3.161 machine using the PSCP command provided by Putty. On the 3.161 machine, execute the rke command to

Recently in the Docker and her management tools, the selection of kuberetes, by her terminology and concepts to get dizzy ... Read an article is not bad, put it here to share.Address: http://www.linuxidc.com/Linux/2015-12/125757.htmThe citations are as follows:As an important member of the Docker ecosystem, Kubernetes is an open source version of Google's many years of large-scale container management technology and is the best practice for line-of-pr

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

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

Copyright notice: This article by Turboxu original article, reprint please indicate source:Article original link: https://www.qcloud.com/community/article/152Source: Tengyun https://www.qcloud.com/communityKubernetes, an important member of the container orchestration ecosystem, is an open source version of Google's large-scale container management system (Borg) that draws on Google's experience and lessons learned in the production environment over the past decade.

http://blog.csdn.net/deerlux/article/details/50917751 "Translator according to" the Kubernetes official website document, mainly introduces Kubernetes basic concept as well as the application scene, the k8s design idea, as well as k8s can do does not do. What is Kubernetes? Kubernetes is a container-centric infrastruc

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

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

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

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

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

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

This is a creation in Article, where the information may have evolved or changed. "Editor's note" This sharing will introduce ePRO to pay private container cloud from 0 to 1 of the construction road. Includes technology selection, theoretical Foundation, kubernetes-based container clouds and CI/CD in the landing process challenges and trampled pits. Construction Background and objectivesBefore the popularity of Docker technology, ensuring the quality

Directory 1, Jenkins CI/CD background 2, environment, software preparation 3, deployment Jenkins Server to Kubernetes 4, Jenkins configuration kubernetes Plugin 5, testing and Validation 5.1, pipeline type support 5 .2, Container Group type Support 5.3, non-Pipeline type support 5.4, configuring custom Jenkins-slave Mirroring 1, Jenkins ci/cd background Introduction Continuous construction and release is an

min/a Vg/max/mdev = 0.337/0.557/0.927/0.264 ms The containers on both hosts can ping each otherRun a new container on the host 10.224.106.127 and 10.224.106.128 by executing the following command:Docker Run-ti Ubuntu/bin/bashThen the 10.224.106.127 container pings the 10.224.106.128 container,[Email protected]:/# ping 10.244.2.3PING 10.244.2.3 (10.244.2.3) (+) bytes of data.64 bytes from 10.244.2.3:icmp_seq=1 ttl=63 time=0.781 ms64 bytes from 10.24

not perfect, not to achieve the container and application level of monitoring and alarm. The mirrored warehouse registry does not have the same user rights as the Docker hub. As Kubernetes began to use more and more companies, more teams and lines of business within the company began accepting or proactively learning about Docker, and in order to address the existence of first-generation platforms and the deployment of existing services based