kubernetes autoscaling

1. Compiling environment Operating system: Ubuntu 16.04 LTS AMD64 git:2.7.4 docker:1.12.6 2. Compile Steps 2.1 Clone Source Code # git clone https://github.com/kubernetes/kubernetes.git # git checkout release-1.7 2.2 To modify the source code is to solve the Gcr.io domestic problems, has been tested, even if ready to gcr.io related mirrors, such as not modify the source code will still be due to network problems caused the compilation failed edit

ClusterCluster is a collection of compute, storage, and network resources, and Kubernetes uses these resources to run various container-based applicationsMasterMaster is the brain of cluster, whose primary responsibility is scheduling, that is, deciding where the application will run. Master runs the Linux operating system, which can be either a physical machine or a virtual machine. To achieve high availability, you can run multiple master.NodeNode's

. Metrics Server can monitor the CPU and memory usage of the container, as well as the node where the container is running. This allows operations personnel to set up and monitor KPIs (key performance indicators). These operations define levels of things that can provide operations teams with a way to determine when an application or node is unhealthy. They also provide them with all the data they need to see the problem. In addition, the Metrics Server https://kubernete

Tail-f/var/log/messagenov1409:39:09imagejournal:w111409:39:09.943633 1controller.go:386]Resettingendpointsformasterservice " Kubernetes "to{{}{kubernetesdefault/api/v1/namespaces/default/ Endpoints/kubernetes17553a6b-c907-11e7-b180-fa163ee5f1502002302017-11-1406:43:15 +0000utcWorkaround:Append the--apiserver-count=n to the Api-server configuration file, and then restart the ApiserverThis article is from the "ipcpu" blog, make sure to keep this source

ObjectiveThis article is a reading note, specific reference to Mr. Nu Bongfei's original "Kubernetes Guide", thank the original author, salute!I. Introduction of BorgBorg is a large-scale cluster management system within Google, which is responsible for the scheduling and management of many core services within Google.The goal of Borg is to enable users to focus on their core business without having to worry about resource management, and to maximize

I. Background INTRODUCTION As we all know, due to the domestic network reasons, in the construction of kubernetes environment, often encountered the need for the mirror can not find the situation. After all, it is not a good idea to pick up rubbish in Dockerhub, this article teaches everyone to build their own mirror warehouse in Dockerhub. Request: Have GitHub account number, have dockerhub account number, do not register. Second, the basic steps 2.1

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

This is a creation in Article, where the information may have evolved or changed. Hello everyone, I am Xu Chao, engaged in Kubernetes development has been more than two years. Today, I talk about Client-go repository from a developer's point of view and how to build a Controller with Client-go. At the same time, we also give you a talk about the development process encountered in the pit, I hope everyone in the development of the time can be around

Kubernetes architecture and component introduction of open-source container Cluster Management System This article is based on an Infoq article (see the reference section) and has been modified based on your understanding in difficult areas. For more information about deploying kubernetes on Ubuntu, see. Together we will ensure that Kubernetes is a strong and ope

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

spark2.3.0+kubernetes Application Deployment Spark can be run in Kubernetes managed clusters, using native kubernetes scheduling features have been added to spark. At present, kubernetes scheduling is experimental, in future versions, Spark may have behavioral changes in configuration, container images, and portals. (1

Detailed guide for manual installation and deployment of Kubernetes on Ubuntu, ubuntukubernetes Background Two Ubuntu16.04 servers: 192.168.56.160 and 192.168.56.161. Kubernetes version: 1.5.5 Docker version: 1.12.6 Etcd version: 2.2.1 Flannel version: 0.5.6 Among them, 160 servers are both master nodes of Kubernetes and node nodes. 161 servers are only node node

First, the prefaceKubernetes is Google's Open source container cluster management system, based on Docker to build a container scheduling services, providing resource scheduling, equalization disaster tolerance, service registration, dynamic expansion capacity and other functional kits, the latest version of the current 0.6.2. This article describes how to build a Kubernetes platform based on Centos7.0, before the formal introduction, it is necessary

Get Source code Latest installation package, GitHubThe experiment of the 1.10.0 binary package download, Baidu network disk Machine Environment Kubernetes Roles IP Address Hostname Master 192.168.142.161 Kubernetes-node1.example.com Node 192.168.142.162 Kubernetes