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Container Runtime: It is container software (Docker) Environment Node kube-proxy: It is a Kubernetes network proxy that forwards TCP/UDP incoming requests to backend container.
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Kubelet: It runs on all worker nodes and handles tasks like starting pods and containers. cloud-controller-manager: A cloud control manager that interact with underlying cloud providers (Ex: DigitalOcean, Rancher, etc.). kube-controller-manager: It is a control manager that runs on the manager who is responsible for monitoring nodes and maintaining pods replication. Kube-API server: It is an API server, runs on the master node that exposes Kubernetes API etcd: A key store that stores Kubenetes cluster data kube-scheduler: It is a scheduler that runs on the master node which monitors newly created pods and runs those pods on select nodes depends on resource availability. In this multi-node setup, we will have one master node and multiple worker nodes (minions). Here, we will deploy a multi-node Kubernetes cluster using the kubeadm. Kubeadm-dind (Kuberadm) – A multi-node Kubernetes cluster
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MinKube – A single node Kubernetes cluster for development and testing.Ģ. We can run Kubernetes in local-machine using below methods,ġ. With Kubernetes, you can deploy any number of container replicas onto a node cluster, and Kubernetes will handle remainings (where to bring up containers) for you. You can call Kubernetes is a cluster manager for Docker, and it provides almost same functionalities that of Docker Swarm. Google initially designed Kubernetes and now maintained by the Cloud Native Computing Foundation. Kubernetes is an open-source Production-Grade container orchestration tool that helps to automate deploying, scaling, managing containerized applications.