kubernetes course

design of swarm, understand its service discovery, service orchestration, and then build swarm cluster environment, then adjust our microservices to adapt to swarm, and finally deploy them in the swarm cluster. 7th Chapter Service Orchestration-kubernetesThe whole idea of kubernetes learning is also from concept to cluster building and finally to micro-service deployment. But because of its leadership in the field of service orchestration and its hig

root of the certificate trust chain, and each component communicates on the premise that there is a certificate (root certificate) that everyone trusts, and that the certificate that everyone uses is issued by this root certificate.#所有证书相关的东西都放在这$ mkdir -p /etc/kubernetes/ca#准备生成证书的配置文件$ cp ~/kubernetes-starter/target/ca/ca-config.json /etc/kubernetes/ca$ cp ~/

. Applications should give full play to the potential of kubernetes.The kubernetes application is communicating using the service. There are different types of services in Kubernetes, and they are treated as load balancers. The service name defined is your endpoint http://service_name:port.If you are using a stateful application, you will want to use headless services to access specific pods.

ensure they each have a reasonable memory on- cgroups line All you need to do is write a call Kubernetes API to the program (Controller "controllers") Another cool Kubernetes API thing about it is that you don't have to be limited to Kubernetes some of the management methods you provide, and you can write your own program calls to implement your own customiz

deploy_dashboard {if ${kubectl} Get Rc-l K8s-app=kubernetes-dashboard--namespace=kube-system | grep kubernetes-dashboard-v >/dev/null; Then echo "Kubernetes Dashboard Replicationcontroller already exists" else echo "Creating Kubernetes Dash Board Replicationcontroller "${kubectl} create-f ${kube_root}/cluster/addon

seem to work ). The Kubernetes cluster depends on two third-party components: etcd and docker. The former provides status storage, and the two are used to manage containers. Clusters can also use distributed storage to provide storage space for containers. Displays the components of the current system: Kubernetes proxy nodes Kubelet and Kube-proxy run on the proxy node. They listen to Service node informa

The Kubernetes network model is made up of four parts from inside to outside: The network where the pod interior container resides The network where the pod resides Network for communication between pod and service Network of communication between outside and service It is recommended that you understand the network model of Docker before reading this article. Refer to the author's first two articles [

Background:Kubernetes Introduction: http://kubernetes.io/docs/getting-started-guides/GitHub Address: Https://github.com/kubernetes/kubernetesInstall the documentation on Ubuntu official address: http://kubernetes.io/docs/getting-started-guides/ubuntu/Environment: Master: Ubunut14.04 192.168.27.135 (NAT) Minion1: Ubuntu14.04 192.168.27.136 (NAT) Minion2: Ubuntu14.04 192.168

set of endpoint that communicates with each other, which is closer to the network definition in neutron.In CNM, the Docker engine invokes the network implementation via the HTTP REST API to configure the network for the container. These API interfaces cover more than 10 interfaces such as network management, container management, creating endpoint, and so on. The CNM model also implies additional constraints such as the service mechanism, DNS mechanism, and so on, which are included with Docker

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

: Applications are divided into small stand-alone slices that can be deployed and managed dynamically without the need to run a fat stack on a large, single purpose host. Resource Isolation : Predictable program performance. Maximize Resource Utilization : High performance, high density. Why do I need kubernetes, what does it do? Kubernetes can be implemented to schedule and run containers on a physical cl

sequence is executed on all nodes.[email protected]:./CADV [email protected]:./kube [email protected]:./proxy After all components are running, the status is detected on master.View cluster status below [email protected]:~# kubecfg listminionsMinionidentifier Labels---------- ----------10.180.64.910.180.64.8You can see that there are two nodes in the cluster 10.180.64.8 and 10.180.64.9, which is the 2 nodes deployed.View pods for the current cluster [email protected]: ~#kubecfg list podsName

What is 1.1 kubernetes?First, it is a new, container-based, distributed architecture leading solution. is an open source version of Google's Borg (large-scale cluster management system).Second, if the system design follows the Kubernetes design idea, then the traditional system architecture and business does not have much to do with the underlying code or function modules (such as load balancing, service se

largely provided by the Kubernetes API-it is used as an internal component of expansion and a container running on Kubernetes. Because Kubernetes is a system composed of many components, it is still difficult to install and deploy Kubernetes, and Kubernetes is developed by

provide kubernetes support, that is, Traefik itself can interact with the Kubernetes API, the perception of backend changes , so there is no need for ingress Controller when using Traefik, this scheme is of course feasible. q:1, multiple container inside a pod are the same service? Or is it made up of a different service? What kind of distribution logic is i

management system that namespace/resourcequota/deployment/service/ The call of API such as endpoint realizes the partition of resource quota and management of application life cycle. The biggest challenge for the container cloud platform in terms of ease of use is the troubleshooting, the container cloud is ultimately delivered to the developer, and they don't know about kubernetes, which makes troubleshooting a challenging process. Now we just want

https://rominirani.com/ Tutorial-getting-started-with-kubernetes-on-your-windows-laptop-with-minikube-3269b54a226#.d9lmuvzf2 This article's Considerations: 1, as of 2017.01.20, window kubernetes is still experimental, there are a variety of unpredictable bugs, if you encounter bugs, please go to kubernetes GitHub search Issues to find solutions (issues

Description: Use the Grafana official plugins (Grafana-kuberneres-app) Link Prometheus show kubernetes informationNote: All monitoring-related information is placed on the Namespace=monitorGithub:https://github.com/grafana/kubernetes-app1, Installation PrometheusProm-rbac.yamlapiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata: name: prometheus namespace: monitorrules:- apiGroups: [""]

Use Kubernetes to manage containers on centos 71. Preface The previous section describes the Kubernetes system architecture, which gives you a preliminary understanding of Kubernetes. However, you may not know how to use Kubernetes. This article describes how to deploy and configure the network environment of the

Kubernetes container cluster management system basic explanation, kubernetes Management SystemKubernetes Overview Kubernetes is open-source by GoogleContainer Cluster Management SystemIs an open-source version of Google's large-scale container management technology Brog, which includes the following features: Container-based application deployment, maintenance,