kubernetes autoscaling

Kubernetes Dashboard deployment of Docker 1. Environment Description: 1). Structure: Note: This experiment server environment all uses CentOS 7. The service installs all adopt Yum install. 192.168.3.7 Master192.168.3.16 node 2). Software packages used: Master:docker Kubernetes-master Etcd FlannelNodes:docker Kubernetes-node Flannel 3). Software version:

first, the core concept 1, Node node as a working node in a cluster, running a real application, the smallest unit of Kubernetes managed on node is pod. Node runs kubernetes kubelet, Kube-proxy service processes that are responsible for pod creation, start-up, monitoring, restart, destruction, and load balancing of software patterns. Node contains information: node address: The IP address of the host, or

First, prerequisites1, first you will have ready-made kubernetes cluster, if you have nothing now, please refer to:http://zlyang.blog.51cto.com/1196234/19510102, the proposed use ETCD cluster, the construction process please refer to:http://zlyang.blog.51cto.com/1196234/1951164Ii. Deployment of Kubernetes-dashboard[All machines: Master, Node1, Node2]1, install flannel (Flannel for Management containers Netw

I. Introduction ofKubernetesKubernetes is Google open source container cluster management system, based on Docker to build a container scheduling service, providing resource scheduling, balanced disaster recovery, service registration, dynamic expansion capacity and other functional suites, using Kubernetes can easily manage the cross-machine operation of containerized applications. and Kubernetes supports

This is a creation in Article, where the information may have evolved or changed. This period of time in the project group want to introduce Kubernetes, as a second-generation container scheduling engine, so recently in the system learning kubernetes. Organized a number of learning notes, experience, put on the blog, one to record their own learning through, and secondly see whether the need to help student

Google Kubernetes Engine upgrade: regional cluster, new control panel, and security recommendations Google has updated its Kubernetes Engine (GKE) service several times. You can now use GKE on a large scale. In addition to the kubectl command for cluster control and management, it also supports cluster management through the Cloud Console of a Web-side control panel. In addition, GKE can use Google best pra

The development track of modern cloud computing from the perspective of container and Kubernetes Technology [Editor's note] This article is selected from the Google Cloud Platform Blog. It is the beginning of a series of blogs that mainly introduce container technology. This article briefly introduces container technology and kubernetes, describes the advantages of container technology and Google's understa

Because scenarios where private clouds are deployed in the enterprise are more prevalent, it is necessary to build a network environment that meets kubernetes requirements before running kubernetes + Docker clusters in a private cloud. In today's open source world, there are many open source components that can help us get through the network between Docker containers and containers, and achieve the

# # # System Environment Readiness (CentOS 7.2):A) # Systemctl disable FIREWALLDb) # sed-i s '/selinux=enforcing/selinux=disabled/g '/etc/sysconfig/selinuxc) # yum-y update rebootd) # yum-y install ntpdate ntpdate cn.pool.ntp.orgmaster:192.168.11.10node1:192.168.11.20node2:192.168.11.30Download the installation:Etct:https://github.com/coreos/etcd/releasesFlannel:https://github.com/coreos/flannel/releasesKubernetes:https://github.com/kubernetes/

Kubernetes node nodes contain the following components: Kublete Kube-proxy Docker-ce Flanneld Installation configuration Docker-ceuninstall old versionsyum remove docker docker-common docker-selinux docker-engine -yansible k8s-node -a 'yum remove docker docker-common docker-selinux docker-engine -y'Install Docker CE# install required packagesyum install -y yum-utils device-mapper-persistent-data lvm2ansible k8s-node -a 'y

Run the MongoDB microservice on Docker and KubernetesGuideDocker is an open-source application container engine that allows developers to package their applications and dependencies to a portable container and then publish them to any popular Linux machine, you can also achieve virtualization. Containers fully use the sandbox mechanism and do not have any interfaces between them. This article describes how to use Docker and Kubernetes to build a set

allow mirroring to be pulled from the registry.[[email protected] ~]# vim/etc/sysconfig/docker#/etc/sysconfig/docker# Modify These options if you want to change the WA Y the Docker daemon runsoptions= '--selinux-enabled--log-driver=journald--signature-verification=false ' If [-Z ' ${ Docker_cert_path} "]; Then docker_cert_path=/etc/dockerfioptions= '--insecure-registry registry:5000 'Set up boot and turn on services[[email protected] ~]# chkconfig Docker on[[email protected] ~]# service Dock

Kubernetes Cluster Deployment DNS ServiceIn Kubernetes each service will be assigned a virtual IP, each service under normal circumstances will not change for a long time, this is relative to the pod of the indefinite IP, the use of the cluster app is relatively stable.But the service's information injected into the pod is currently using an environment variable, and relies heavily on pod (RC) and service c

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

This is a creation in Article, where the information may have evolved or changed. "Editor's words" This share is mainly zookeeper, Redis, Kafka, MongoDB and other applications containerized in the Kubernetes platform above practice. The problems of application in integration are analyzed from the aspects of computing, network and storage, and the application of some traditional applications in the process of container design is two times. This paper i