Answer:- The communication between Docker client and Docker daemon happens with the help of the combination of TCP, Rest API, and Socket.IO.

Answer:- • Run Jenkins on Docker • Using docker-compose, run integration tests in Jenkins

Answer:- This is a question wherein we could bring upon our whole experience with Docker and any other Container technologies we have used prior to Docker. We could also explain the ease that this technology has brought in the automation of the development-to-production life cycle management. We can also discuss any other integrations that we might have worked, along with Docker, such as Puppet, Chef, or even the most popular of all technologies—Jenkins. If we do not have any experience with Docker but we have it with similar tools from this space, we could convey the same and also show our interest in learning this leading containerization technology.

Answer:- Kubernetes is a container orchestration tool that is used for automating the tasks of managing, monitoring, scaling, and deploying containerized applications. It creates groups of containers that can be logically discovered and managed for easy operations on containers.

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.