What are Orchestrators?
Orchestrators are tools that enable Devops administrators retrieve images from the registries and deploy them into containers. They also manage container operation. This is the final stage of the container lifecycle. Here the latest version is deployed and is available for live usage. Orchestrators help identify host failures and monitor container resource consumption. They also automatically restart containers on new hosts. An orchestrator will allocate additional resources to containers when resources are exhausted. Containers that are used to run an application are destroyed and new containers are created using the updated images.

Popular orchestrators include Kubernetes, Docker Swarm, Nomad, Mesos, etc.
Introduction to Kubernetes
Kubernetes can also be known as K8s. It is an open-source platform for orchestrating multiple services that can be used in a variety of ways. It is used to manage containerized applications and microservices. Containers are a cost-effective way to package and run applications. Containers must be efficiently managed in a real-time production environment to reduce downtime. If a container fails, another container will automatically start. Kubernetes is a resilient framework that can manage distributed containers, generate deployment patterns and perform failover/redundancy for applications.
Kubernetes Features:
Kubernetes allows service discovery via a DNS name, or IP address.
Kubernetes performs load balancing when a container receives a lot of traffic.
Storage orchestration: Kubernetes lets developers mount their own storage capabilities such as local or public cloud storage.
Automated rollouts, rollbacks, and creation of new containers: Kubernetes automates creating new containers, destroying old containers, and moving all resources between containers.
Kubernetes automates bin packing: Kubernetes manages a cluster of nodes running containerized applications. Kubernetes will automatically allocate and disperse resources to containers if you specify the resources required to run the container.

Kubernetes – Cluster Architecture

Kubernetes Components:
Kubernetes Cluster: A Kubernetes Cluster is a group of worker nodes or master nodes that runs containerized applications. Kubernetes is a cluster. Cluster is the heart of Kubernetes. The key advantage is the ability to schedule and run containers across a group of machines, whether they are physical or virtual.
Master: This is a group of components that makes up Kubernetes’ control plane. These components are used for all cluster decisions. This includes both responding to and scheduling cluster events.
Node: A single host that can run on a virtual or physical machine. A node must run both kubeproxy, container runningtime, and Kubelet. These are considered part of the cluster.
Kubernetes Master components:
API server: Kubernetes API servers are easy to manage. All of the API servers’ persistent state is stored in an outside database that is accessible from the API server. The server is stateless and can be replicated to manage request load and fault tolerance. The API server is replicated three more times in highly available clusters.
Kubernetes Scheduler: Kubernetes scheduling is a part of Kubernetes, an open-source Kubernetes container orchestration system that manages performance and availability using policies and topology awareness.
Kubernetes controller administrator: Kubernetes Controller Manager is a master component that manages controllers. Although controllers are usually separate processes such as node controller or endpoint controller, they can be combined int