kubernetes ubuntu

Objectiveto report a recent blockbuster news: the latest version of Ghostcloud Enterprise container Cloud Platform Ecos (corporate Container operation System) has perfectly supported the most mainstream scheduling engine kubernetes in the container market, and officially launched today! Built-in self-research container scheduling framework Newben and open Source engine kubernetes means that the Ecos platfor

I. Introduction:Kubernetes is an open source container management tool, based on the Go language implementation, lightweight and portable applications, you can put kubernetes cluster on the Linux host deployment, management and expansion of the Docker container application on multiple hosts.Two. Architecture: 1. The kubernetes consists of the following components:

Kubernetes is a docker-based, open-source container cluster management system initiated and maintained by the Google team that not only supports common cloud platforms, but also supports internal data centers.Built on top of Docker, Kubernetes can build a container scheduling service that allows users to manage cloud container clusters through kubernetes clusters

Character string jobtemplate: #job模板 spec:template:spec:containers:-Name:hello-cronjob Image:10.3.1.15:5 000/ubuntu:16.04 command: ["Bash", "-C", "Date;echo Hello from the Kubernetes cluste"] #job具体执行的任务 restartpolicy: OnFailureCreate and view task status:[Email protected]:# kubectl get cronjob NAME SCHEDULE SUSPEND ACTIVE last SCHEDULE agehello */1 * * * * False 0 Then, every minute you execute kubectl ge

From Mesos to KubernetesThe previous scheduling framework was based on Mesos self-research. The language used is Python. Run for about two years, and has been relatively stable. But as the business grows, the problems of the existing framework are gradually exposed. Scheduling speed encountered bottlenecks, affecting the deployment of large business speed. There is no good support for stateful services. There are two solutions to this problem, one for improved refactoring of ex

corresponding.Modify its configuration file/etc/sysconfig/flanneld content as follows:# Flanneld configuration options # ETCD URL location. Point the server where Etcd runsflannel_etcd_endpoints="https://10.10.90.105:2379,https://10.10.90.106:2379,https://10.10.90.107:2379"# ETCD config key. This is the configuration key, which flannel queries# for address range Assignment#flannel_etcd_prefix="/atomic.io/network"Flannel_etcd_prefix="/kube-centos/network"# Any additional options and want to pass

Ext.: http://dockone.io/article/950OverviewThis article is mainly about how to install Kubernetes on the Ubuntu system, there are many related articles on the network, the feeling is not very clear, here I will own installation practice to provide you with a guide, easy to build kubernetes environment, rapid development.Installation Preparation1 Installing Docker

Note: The following operations are based on the CENTOS7 system.Installing AnsibleAnsilbe can be installed via Yum or Pip, and because Kubernetes-ansible uses the password, it needs to be installed Sshpass:pip install ansiblewget http://sourceforge.net/projects/sshpass/files/latest/downloadtar zxvf downloadcd sshpass-1.05./configure make make installConfigure Kubernetes-ansible# git clone https://github.co

The Cluster Lifecycle layer adds self-hosted functionality to Kubeadm, which means that Kubernetes can be run on Kubernetes, which is bootstrap. Bootstrap is considered to be a system of "elegance" of a embodiment, in fact, Kubernetes in the early attempt to bootstrap, now Kubeadm directly add this feature, is undoubtedly a step closer. In addition, the KUBEADM c

Wen/Sky Cloud software Cloud Platform development engineer Zhang Wei Zhang Wei is mainly responsible for the cloud software Skyform Cloud Platform design and development work. Familiar with a variety of open source IaaS platform, such as Cloudstack,openstack, familiar with various resource management and scheduling framework, such as kubernetes,mesos,yarn,borg. After six months of continuous optimization, Kuberne