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Kube-scheduler is responsible for scheduling the pods. Kube-apiserver accepting the request from Client. The kube-apiserver acts as a go-between between nearly every Kubernetes component. It is the communication backbone of the cluster. The kube-apiserver is also how all the master nodes get access to etcd. Internally, the kube-apiserver is the only component that all other master and worker components can directly communicate with. External requests are sent to the API via REST calls, using the kubectl command-line interface, or using other command-line tools such as kubeadm. The kube-apiserver acts as the frontend for the Control Panel and exposes the Kubernetes API. This API server is the most important component of Master Node. To do this, the master node has an API called the kube-apiserver.
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kube-apiserverĪ critical part of being a master node is communicating with all of the worker nodes and handling external management requests. If the master node detects a discrepancy with the two states, it will keep them in sync. It does this by holding two types of states a desired state and a current state. Any resource Kubernetes creates is saved in the etcd.Ī subset of etcd tracks the state of various attributes throughout the cluster. Within the etcd datastore, you’ll find cluster information such as the number of pods (more on that later), their state, namespace, etc. It maintains a highly-available and consistent key-value data store known as etcd to do just that. etcdĪs you might have guessed, a Kubernetes cluster has thousands of settings and logic it must maintain. It does this through a combination of components internal to each master node. Master nodes are responsible for scaling worker nodes, provisioning new container resources, responding to cluster events, and more.
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Master nodes are the control engine for the Kubernetes cluster that makes all the decisions about the cluster. Master nodes, also known as the Control Plane, are the brain of the Kubernetes cluster architecture. Nodes are Linux hosts, either virtual machines (VMs) or physical servers, that run various Kubernetes components. Inside of a Kubernetes cluster, you’ll find nodes. Kubernetes architecture diagram – A Kubernetes cluster containing one master node and two worker nodes.