Answer:- A Kubernetes cluster is a group of nodes that run containerized applications across various environments and machines—cloud-based, physical, virtual, and on-premises. It enables the easy development of applications as well as their management and movement.

Answer:- With the container orchestration tool Kubernetes, it becomes extremely easy to handle containers. We can respond to customer demands by deploying the applications faster and in a more predictable manner. Here, we will list some of the benefits of Kubernetes: • Automatic scheduling • Automated rollback • Horizontal scaling • Auto-healing capabilities

Answer:- Kubernetes is used for the automation of the manual operations that are involved in the deployment, management, and scaling of containerized applications. It keeps track of the ones that are deployed into the cloud, restarts orphaned ones, shuts down the unused, and automatically provides resources such as storage, memory, and CPU when required.

Answer:- The best way to carry out the management of the life cycle of containerized applications over a large scale is through a container orchestration system like Kubernetes. It automates the deployment and scaling of several containers simultaneously. Containers that are running the same application are arranged together and act as replicas. They serve to load balance incoming requests. Kubernetes, then, supervises these groups of containers and ensures that they are functioning correctly.

Answer:- Docker Swarm is a default container orchestration tool that comes with Docker. Docker Swarm can only orchestrate simple Docker containers. Kubernetes, on the other hand, helps manage much more complex software application containers. Kubernetes offers support for larger demand production environment.

Answer:- Application orchestration in the software process means that we can integrate two or more applications. We will be able to automate arrangement, coordination, and management of computer software. The goal of any orchestration process is to streamline and optimize frequent repeatable processes.

Answer:- The Kubernetes namespace is used in the environment wherein we have multiple users spread in the geographically vast areas and working on multiple projects. What the namespace does is dividing the cluster resources between multiple users.

Answer:- Multiple clusters that are managed as a single cluster is referred to as federated clusters.

Answer:- We can think of a Kubernetes pod as a group of containers that are run on the same host. So, if we regularly deploy single containers, then our container and the pod will be one and the same.

Answer:- A node in Kubernetes is a worker machine which is also known as a minion. This node could be a physical machine or a virtual machine. For each node, there is a service to run pods, and it is managed by master components. The node services could include kubelet, kube-proxy, and so on.

Answer:- The Heapster lets us do the container cluster monitoring. It lets us do cluster-wide monitoring and event data aggregation. It has native support for Kubernetes.

Answer:- A container cluster lets us place and manage containers in a dynamic setup. It can be considered as a set of nodes or Compute Engine instances. The API server of Kubernetes does not run on cluster nodes, instead the Container Engine hosts the API server.

Answer:- We can think of a kubelet as the lowest level component in a Kubernetes. The kubelet is responsible for making the individual machines run. The sole purpose of a kubelet is that in a given set of containers, it has to ensure that they are all running.

Answer:- The kube-scheduler is the default scheduler for Kubernetes. It is designed such that if you prefer, you can write your own one and use that instead. Following is the syntax: kube-scheduler [flags] The scheduling life cycle: 1. A pod is created and the preferred state is mentioned, and without filling the node name, it is saved to etcd 2. The scheduler notices the new pod with no node bound 3. It finds a suitable node for that pod 4. It then informs the API server to bind the pod to the node, and next, the new desired state is saved to etcd 5. Kubelets watch the pods that are bound and start the containers on the particular node