Contribute on GitHub What is a Kubernetes Cluster? Is an open source platform for managing containerized applications.
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If you use Docker for an application deployed on multiple Linodes, a Kubernetes cluster can manage your servers and deployments, including tasks such as scaling, deployment, and rolling upgrades. A Kubernetes cluster consists of at least one master node and several worker nodes. The master node runs the API server, the scheduler and the controller manager, and the actual application is deployed dynamically across the cluster. System Requirements To complete this guide you will need three Linodes running Ubuntu 16.04 LTS, each with at least 4GB of RAM.
Before beginning this guide, you should also use the Linode Manager to generate a for each Linode. Before You Begin This article requires that you first complete our guide and follow the procedures described there to configure one master node and two worker nodes. Set the hostnames of the three Linodes as follows:.
Master node: kube-master. First worker node: kube-worker-1. Second worker node: kube-worker-2 Unless otherwise stated, all commands will be executed from the kube-master. Kubernetes Pods A is a group of one or more tightly coupled containers that share resources such as storage and network. Containers inside a pod are started, stopped, and replicated as a group.
Create a Deployment are high-level objects that can manage pod creation and allow the use of features such as declarative scaling and rolling-upgrade. In a text editor, create nginx.yaml and add the following content: /nginx.yaml. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 apiVersion: apps/v1 kind: Deployment metadata: name: nginx-server labels: app: nginx spec: replicas: 1 selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx: 1.13-alpine ports: - containerPort: 80 The file contains all the necessary information to specify a deployment, including the Docker image to use, number of replicas, and the container port. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 apiVersion: v1 kind: Service metadata: name: nginx-service labels: run: nginx spec: type: NodePort ports: - port: 80 targetPort: 80 protocol: TCP name: http selector: app: nginx. Create the service: kubectl create -f nginx-service.yaml.
Check the status of the new service: kubectl get services NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kubernetes ClusterIP 10.96.0.1 443/TCP 2d nginx-service NodePort 10.97.41.31 80:31738/TCP 38m The service is running and accepting connections on port 31738. Test the service: curl:. View additional information about this service with the describe command: kubectl describe service nginx-service Name: nginx-service Namespace: default Labels: run=nginx Annotations: Selector: app=nginx Type: NodePort IP: 10.97.41.31 Port: http 80/TCP TargetPort: 80/TCP NodePort: http 31738/TCP Endpoints: 192.168.127.14:80,192.168.127.15:80,192.168.180.13:80 Session Affinity: None External Traffic Policy: Cluster Events: Kubernetes Namespaces Namespaces are logical environments that offer the flexibility to divide Cluster resources between multiple teams or users. List the available namespaces: kubectl get namespaces default Active 7h kube-public Active 7h kube-system Active 7h As the name implies, the default namespace is where your deployments will be placed if no other namespace is specified. Kube-system is reserved for objects created by Kubernetes and kube-public is available for all users. Namespaces can be created from a.json file or directly from the command line.
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Create a new file named dev-namespace.json for the Development environment: /home/dev-namespace.json.