kubernetes command

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

Commit:d577db99873cbf04b8e17b78f17ec8f3a27eca30Date:fri APR 10 23:45:36 2015-0700 0. Basic knowledge of command line and dependenciesSynopsisPerform a rolling update of the given ReplicationController.Replaces the specified controller with new controller, updating one pod at a time to use thenew PodTemplate. The new-controller.json must specify the same namespace as theexisting controller and overwrite at least one (common) label in its replicaSelecto

Deploying Heketi and Glusterfs in Kubernetes (ii)In the previous section, Heketi was not deployed in a production environment because the data for the Heketi pod was not persisted, causing Heketi data loss and Heketi data saved in/var/lib/heketi/heketi.dbfile, you need to mount this directory to Glusterfs distributed storage.Follow the steps in the previous section to perform HEKETI-CLI topology load--json=topology-sample.json$ echo $HEKETI_CLI_SERVER

"}, {_id:1, Host:"mongodb-1.mongodb.basic-app.svc.cluster.local:27017"}, {_id:2, Host:"mongodb-2.mongodb.basic-app.svc.cluster.local:27017" } ]});2. Create an administrative user: For specific reference: https://docs.mongodb.com/manual/tutorial/enable-authentication/Use admindb.createuser ({User:"Myuseradmin", pwd:"[email protected]", roles: [{role:"Useradminanydatabase"Db:"Admin"}]}) Db.auth ("Myuseradmin","[email protected]")3, after you can connect to create users, give role permissions to

This article describes how to quickly deploy a set of kubernetes clusters, so let's get started quickly! Preparatory work//关闭防火墙systemctl stop firewalld.servicesystemctl disable firewalld.service//关闭selinux,修改/etc/selinux/configSELINUX=disabledMachine Deployment Planning Host IP Deploying Components Master Master Node 192.168.199.206 ETCD, Kube-apiserver, Kube-controller-manager, Kube-sch

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

beginners.Then there are classmates asked, there are a lot of binary installation of the tutorial, why do I also repeat the wheel? Indeed, K8s's binary installation method does have a lot of tutorials, I also have to look at the introduction, there are two main tutorials, one is a fool, also called a button, run a command, execute a script, all done (of course, will encounter some problems, you need to find a way to solve the ^_^). There is also a co

The essence of swarm and k8s are container orchestration services.They can abstract the underlying host, and then start the application from a built-in image and eventually deploy it to a host on a docker basis. Which scenario should be chosen as our container cloud service? I think k8s (kubernetes short) and swarm compared to MySQL and SQL Server comparison, the former lightweight, implementation fast, in order to achieve core functions, more suitabl

Kubernetes (k8s) DNS Service Restarts the resolution repeatedly: k8s.io/dns/pkg/dns/dns.go:150:failed to List *v1. Service:get https://10.96.0.1:443/api/v1/services?resourceVersion=0:dial TCP 10.96.0.1:443:getsockopt:no route to Host When deploying the Kubernetes service using Minikube, the Kube DNS service is repeatedly restarted (as in error). This is likely to be a iptables rule, and I resolved by exe

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

1. The following error was reported during the creation of Nginx pod:#kubectlcreate-F Nginx-pod.yaml from " Nginx-pod.yaml " " Nginx " is for default/default is automatically created and added to the service accountWorkaround:1> Modify the Kube_admission_control parameter in the/etc/kubernetes/apiserver file.Before modification:Kube_admission_control="--admission_control=namespacelifecycle,namespaceexists,limitranger, Securitycontextdeny,serviceacco

Brief introductionKubernetes is an open source, containerized application for managing multiple hosts on a cloud platform, with the goal of making deploying containerized applications simple and efficient, Kuernetes provides a mechanism for application deployment, planning, updating, and maintenance.In Kubernetes, all containers are run in pods, and one pod can host one or more related containers. Each pod system created by the user automatically choo

components $ yum install-y etcd kubernetes NTP flannel 3, each node configuration ETCD Server # Modify config file $ vim/etc/etcd/etcd.conf Etcd_name=defaultEtcd_data_dir="/var/lib/etcd/default.etcd"Etcd_listen_client_urls="http://localhost:2379,http://192.168.80.139:2379"Etcd_advertise_client_urls="http://192.168.80.139:2379"# Start Service $ systemctl start ETCD $ systemctl enable etcd# check ETCD cluster status $ etcdctl cluster-Hea

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/

I. Introduction of COREDNSKubernetes includes the DNS server Kube-dns for service discovery. The DNS server leverages Skydns's libraries to provide DNS requests for kubernetes pods and services. SkyDNS2 's author, Miek Gieben, created a new DNS server, Coredns, which was built with a more modular, extensible framework. Infoblox has partnered with Miek to use this DNS server as a substitute for kube-dns.COREDNS leverages the server framework developed

Please be sure to keep the environment consistent To download the required system packages during installation, be sure to connect all the nodes to the Internet . Cluster node information for this installationLab environment: VMware's virtual machines IP Address Host name CPU Memory 192.168.77.133 K8s-m1 6 cores 6G 192.168.77.134 k8s-m2 6 cores 6G 192.168.77.135

Environment:Kubernetes 1.5.2Kubernetes-dashboard 1.5.1Pull Mirror to local first:Docker Pull docker.io/ist0ne/kubernetes-dashboard-amd64:v1.5.1VI Kubernetes-dashboard.yaml' Kind:deploymentApiversion:extensions/v1beta1MetadataLabelsApp:kubernetes-dashboardName:kubernetes-dashboardNamespace:kube-systemSpecReplicas:1SelectorMatchlabels:App:kubernetes-dashboardTemplateMetadataLabelsApp:kubernetes-dashboardComme