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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
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. (No
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. (No
containers, making deployment and management more flexible. A pod can contain a container or multiple related containers. 2) Replication ControllerThe Replication Controller manages a copy of the pod to ensure that a specified number of pod copies exist in the cluster. If the number of replicas in the cluster is greater than the specified number, the number of extra containers that are outsid
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Today brings you a tutorial on creating a kubernetes cluster quickly with Docker. This tutorial is based on my previous article "10-minute deployment of kubernetes cluster," updated,
Use Rancher's RKE to quickly deploy a Kubernetes Cluster
Brief description:
This article involves three Ubuntu machines, one RKE deployment machine (192.168.3.161), and two Kubernetes cluster machines (3.162 and 3.163 ).
First on a Windows machine, download the rke_linux-amd64 from github, rename it rke, edit 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
Redis3.0 cluster CRC16 algorithm PHP client Implementation method (PHP obtains the Redis partition slot of Redis data in the redis3.0 cluster and obtains the Redis server address of the partition based on the partition slot)
Redis cluster, redis ClusterCluster understanding
In fact, many places may be exposed to the concept of clusters. Why is there a cluster? Simply put, it is just how good people do things. It was originally a task that a person had to work hard to complete. Now it is done by ten people, and ten people can do it easil
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 c
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
the master host, and the file contents are as follows:$ cat /etc/kubernetes/configKUBE_LOGTOSTDERR="--logtostderr=true"KUBE_LOG_LEVEL="--v=0"KUBE_ALLOW_PRIV="--allow-privileged=false"KUBE_MASTER="--master=http://master:8080"1. Modify the configuration file/etc/etcd/etcd.conf to ensure that the ETCD listens to all addresses. The contents are as follows:$ cat /etc/etcd/etcd.confETCD_NAME=defaultETCD_DATA_DIR="/var/lib/etcd/default.etcd"ETCD_LISTEN_CLIE
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 c
Here, I'll show you how to install a kubernetes cluster that contains 1 Master 2 minions.Environmental requirements:CENTOS7 64-bit system three machinesmaster:192.168.5.131minions:192.168.5.132minions:192.168.5.133Components of the Kubernetes:EtcdFlannelKube-apiserverKube-controller-managerKube-schedulerKubeletKube-proxyFirst, deploy to Centos7The figure is then furnishedPrerequisite
Each machine d
In-depth introduction to Redis-redis sentinel cluster, simple introduction to redis-redis1. Sentinel
Sentinel is a Redis high availability solution: a Sentinel system consisting of one or more Sentinel instances can monitor any number of Master servers, and all slave servers
Rancher is an open-source full-stack enterprise container management platform, the user in the rancher visual interface in a single click to complete all the container infrastructure (network, storage, load balancing, etc.) docking and deployment, to ensure that the container on any infrastructure (public and private cloud, virtual machine, The physical machine, etc.) runs seamlessly. All the work of using containers in a production environment can be done with simple, intuitive operation.?start
created
--CLUSTER-CIDR must be consistent with Kube-apiserver's--service-cluster-ip-range option value
Kube-proxy determines the internal and external traffic of the cluster according to the--CLUSTER-CIDR, and kube-proxy the request to access the Service IP after specifying the--
A description of the application scenarioContinuous tracking research kubernetes also for some time, kubernetes as Google open-source production-level container scheduling system from open source has received a lot of attention. A number of research and development companies have researched Kubernetes's design concepts and application scenarios and soon organized developers to combine
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