Kubernetes is Google 's Open source container cluster management system. It is built on Docker technology and provides a whole set of functions, such as resource scheduling, deployment operation, service discovery, expansion and contraction capacity, for containerized applications, which can be regarded as Mini-paas platform based on container technology. The purpose of this article is to comb the architecture, concepts, and basic workflows of
Official Document: HTTPS://WWW.KUBERNETES.ORG.CN/DOC-11The Kubernetes cluster contains the node agent Kubelet and master components (APIs, scheduler, etc), all based on a distributed storage system. The following diagram is an architectural diagram of the kubernetes.Kubernetes nodeIn this system architecture diagram, we divide the service into services running on the work nodes and the services that make up the cluster-level dashboard.The
Service discovery mechanism Kubernetes provides two ways to discover the service:1. Environment Variables When the pod is running, Kubernetes writes the information for the service that existed before This method requires that the pod must be started after the service. The pod that was started before the service will not have an environment variable for that service. There is no such limit in the way
Original intentionSince the advent of kubernetes (k8s), the installation of complex, difficult to deploy has been the industry to spit groove, but also a lot of beginners to block outside the door. While there are also official standalone deployment options for getting Started: Minikube, and the kubeadm used to build the cluster, the domestic green network environment makes the official program extremely complex. So the community has also sprung up wi
A: PrefaceAfter the Kubernetes system has been running for a long time, Kubernetes node will download a very large number of images, which may have many outdated images. Also, because a large number of containers are running, containers become dead containers after they are launched, leaving data on the host, so that outdated images and dead containers consume a
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Kris Nova, of Microsoft, shares lessons on over-engineering from she experience contributing to Kubernetes Kops. In hers spare time, she runs a Kubernetes special Interest Group bringing Kubernetes to AWS, all and working on Microsoft Acs. She ' s writing a book called Cloud Native
The role of Kubernetes Scheduler is to bind controller manager to a new pod according to a specific scheduling algorithm and scheduling policy to a suitable node in the cluster, and to write the binding information to the ETCD.I. Deployment OF SchedulerThe following generates the Kube-scheduler Kubeconfig file, as follows:cd/etc/kubernetesexport kube_apiserver="https://192.168.15.200:6443"Configure clusterKubectl config set---certificate-authority=/et
Brief Description:Using the Rke tool, on the 192.168.3.161 machine, create a kubernetes cluster with two nodes (192.168.3.162 and 192.168.3.163). Rke automatically creates KUBE_CONFIG_CLUSTER.YML configuration files in the/home/user directory.On another server (192.168.3.160), run the Rancher Server 2.0 container. After running, use the https://192.168.3.160 address to access Rancher Server 2.0 preview. (Note: No longer the previous 8080 port)In the R
Brief description:Using the Rke tool, on the 192.168.3.161 machine, create a kubernetes cluster with two nodes (192.168.3.162 and 192.168.3.163). Rke automatically creates KUBE_CONFIG_CLUSTER.YML configuration files in the/home/user directory.On another server (192.168.3.160), run the Rancher Server 2.0 container. After running, use the https://192.168.3.160 address to access Rancher Server 2.0 preview. (Note: No longer the previous 8080 port)In the R
previous Chapters Kubernetes All operations we are using command line tools kubectl completed. To provide a richer user experience, Kubernetes also developed a WEB-based Dashboard that enables users to deploy containerized applications with Kubernetes Dashboard, monitor the status of applications, perform troubleshooting tasks, and manage
Kubernetes has developed a Elasticsearch add-on to enable log management of the cluster. This is a combination of Elasticsearch, FLUENTD and Kibana. Elasticsearch is a search engine that is responsible for storing logs and providing query interfaces; Fluentd is responsible for collecting logs from Kubernetes and sending Elasticsearch;kibana a Web GUI that users can browse and search for stored in Logs in th
the original is from the "Listen to Cloud Technology blog": http://blog.tingyun.com/web/article/detail/1345Today, contact Kubernetes also has a period of time, and most of our business has been stably run in different sizes of kubernetes clusters, we have to say, whether from the application deployment, iteration, or resource scheduling management and other aspects have their unspeakable advantages, But as
650) this.width=650; "Src=" https://s3.51cto.com/wyfs02/M01/8F/D4/wKioL1js5fvx38eyAAIilo3ggrk054.jpg-wh_500x0-wm_ 3-wmp_4-s_3362591799.jpg "title=" docker-swarm-kubernetes copy 2.jpg "alt=" Wkiol1js5fvx38eyaaiilo3ggrk054.jpg-wh_50 " />March 2017 is an important month in the history of open source software. This month, AWS partnered with Startups Heptio to launch the Kubernetes (k8s) Open source container Cl
Configuring the Kubernetes dashboard is relatively straightforward. Similarly, only need to obtain the Dashboard-controller.yaml and Dashboard-service.yaml files from the source code, slightly modify can:wget Https://rawgit.com/kubernetes/kubernetes/master/cluster/addons/dashboard/dashboard-controller.yamlwget Https://rawgit.com/
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
Containerized technology (containerization).You may have a lot of doubts: what exactly is a container and how does it work? What does Docker and kubernetes mean, and what is the use of Google Container engine and managed VMS? How are they related, and how can we build a powerful service through containers and make them available in a large-scale cluster of production environments? How can you get business value by using this technology? Well, we don't
Services deployed by users on Kubernetes typically run on private networks, and pod and service provide parameters such as Hostport,nodeport to expose these service ports to K8S nodes for user access. There are obvious drawbacks to this approach:1) Easy to occupy excessive host port;2) service ports exposed to multiple hosts increasing the difficulty of firewalls and security configuration3) The default hostport,nodeport mode does not function as load
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