Learn to deploy with Kubernetes and scale it with replicas.
Every one is so curious about Kubernetes than anything else as far as I know, even non-tech related people feel excited about Kubernetes. So first we look briefly about Kubernetes and then dive into implementation part later on.
Kubernetes is a popular open-source system for managing containerized applications. The Kubernetes control plane is the central component of a Kubernetes cluster, responsible for maintaining the desired state of the cluster and making sure that the actual state matches the desired state. This includes managing the deployment and scaling of applications, as well as monitoring the health of the cluster and its individual components.
A Kubernetes cluster typically consists of multiple worker nodes, which are the machines that run the containerized applications. The control plane is responsible for scheduling the containers on the worker nodes and making sure that they are running as intended. The worker nodes communicate with the control plane to receive instructions and to report the status of their containers.
In a typical Kubernetes deployment, the control plane components run on a dedicated set of machines, while the worker nodes can be physical or virtual machines. The control plane components include the Kubernetes API server, the etcd distributed key-value store, and the scheduler. The worker nodes run a kubelet agent, which is responsible for managing the containers on the node, and a kube-proxy, which manages network traffic to and from the containers.
Overall, the control plane and worker nodes work together to provide a scalable and reliable platform for running containerized applications in a distributed environment. The control plane ensures that the desired state of the cluster is maintained, while the worker nodes provide the computing power and resources needed to run the applications.