Thanks for the feedback. K8s transforms virtual and physical machines into a unified API surface. A Kubernetes cluster consists of two main components: Master (Control Plane) Worker Nodes. The role of the Controller is to obtain the desired state from the API Server. However, the more granular the application is, the more components it consists of and hence requires some sort of management for those. Multiple applications can now share the same underlying operating system. The article focuses mainly on the infrastructure and DevOps considerations of running a microservices architecture on AKS. • Container Orchestrator • Infrastructure Abstraction • Desired State. The kubelet process then assumes responsibility for maintaining the state of work and the node server. It watches for tasks sent from the API Server, executes the task, and reports back to the Master. It checks the current state of the nodes it is tasked to control, and determines if there are any differences, and resolves them, if any. This tutorial is the first in a series of articles that focus on Kubernetes and the concept of container deployment. They are portable across clouds, different devices, and almost any OS distribution. What is Kubernetes? It manages pods on node, volumes, secrets, creating new containers’ health checkup, etc. Vladimir is a resident Tech Writer at phoenixNAP. This type of deployment posed several challenges. Kubernetes in an open source container management tool hosted by Cloud Native Computing Foundation (CNCF). You should now have a better understanding of Kubernetes architecture and can proceed with the practical task of creating and maintaining your clusters. Containerisation has brought a lot of flexibility for developers in terms of managing the deployment of the applications. This feature has had a profound impact on how developers design applications. It works toward getting the shared state of cluster and then make changes to bring the current status of the server to the desired state. Start your free trial. A pod is the smallest element of scheduling in Kubernetes. For example, if the desired state includes three replicas of a pod and a node running one replica fails, the current state is reduced to two pods. Much as a conductor would, Kubernetes coordinates lots of microservices that together form a useful application. Worker nodes listen to the API Server for new work assignments; they execute the work assignments and then report the results back to the Kubernetes Master node. The key components of master and node are defined in the following section. In which, we have master installed on one machine and the node on distinct Linux machines. Kubeconfig is a package along with the server side tools that can be used for communication. A Kubernetes cluster is divided into two components: Control plane nodes provide the core Kubernetes services and orchestration of application workloads. Nodes run your application workloads. Understanding Kubernetes Architecture with Diagrams. John Harris. Kubernetes automatically and perpetually monitors the cluster and makes adjustments to its components. Based on the availability of resources, the Master schedules the pod on a specific node and coordinates with the container runtime to launch the container. Check out our article on What is Kubernetes if you want to learn more about container orchestration. If you have a specific, answerable question about how to use Kubernetes, ask it on Stack Overflow.Open an issue in the GitHub repo if you want to report a problem or suggest an improvement. This solution isolates applications within a VM, limits the use of resources, and increases security. 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