Kubernets Interview Questions & Answers

The following are the main components of the Kubernetes:

  • API server
  • Scheduler
  • Controller manager
  • .etcd
  • .Addons

Load Balancing is one of the most common and the standard ways of exposing the services.

There are two types of load balancing in Kubernetes and they are:

  1. Internal load balancer – This type of balancer automatically balances loads and allocates the pods with the required configuration.
  2. External Load Balancer – This type of balancer directs the traffic from the external loads to backend pods.

The followings are the different types of services being provided by the Kubernetes:

  • Cluster IP
  • Node Port
  • Load Balancer
  • External name

Kubelet is a type of primary node agents that especially runs on each node. Kubelet only works on the descriptions that the containers provide to the Podspec. Kubelet also makes sure that the container described in Podspec is healthy and running.

The followings are the uses of the Google Kubernetes Engine:

  • Create or resize Docker container clusters
  • Creates container pods, replication controller, jobs, services or load balancer
  • Resize application controllers
  • Update and upgrade container clusters
  • Debug container clusters.

Firstly GKE stands for Google Kubernetes Engine. GKE is a management and an orchestration system that is used for Docker container and all the container clusters that basically run within the Google’s public cloud services. Google Kubernetes engine is based on Kubernetes.

The followings are the main features of the Minikube:

  • DNS
  • Nodeports
  • Configure maps and secrets
  • Dashboards
  • Enabling CNI
  • Ingress
  • Container runtime: Docker, rkt, CRI – O and containerd

Minikube is a type of tool that makes the Kubernetes easy to run locally. Minikube basically runs on the single nodes Kubernetes cluster that is inside the virtual machine on your laptop. This is also used by the developers who are trying to develop by using Kubernetes day to day.

Heapster is a type of cluster-wide aggregator that helps in the process of monitoring and event data. Heapster helps to enable the container cluster monitoring and performance analysis for Kubernetes.

The followings are the three initial namespaces from which the Kubernetes starts:

  • Default
  • Kube – system
  • Kube – public

Kubernetes is especially intended for the use of the environments with many other users that are being spread across multiple teams or projects. Namespaces are the way to divide the cluster resources between the multiple users.

A Kubernetes pod is a group of containers that are being deployed in the same host. Pods have the capacity to operate one level higher than the individual containers. This is because pods have the group of containers that work together to produce an artefact or to process a set of work.

The followings are the main components that the node status:

  • Address
  • Condition
  • Capacity
  • Info

A node is a type of work machine in Kubernetes that was previously known as a minion. A node can be a type of virtual machine or the physical machine. It always depends upon the clusters. Each of the nodes provides the services that are necessary to run pods, and it is also managed by the master components.

Kubernetes is basically a type of an open – source container. Kubernetes has the potential to hold the container deployment, scaling and descaling of the container and load balancing. Kubernetes was being developed in the year of 2014. It is also used to manage the Linux containers across the privates, hybrid and cloud environments.

With container orchestration tool Kubernetes, it becomes extremely easy to handle the containers. You 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.

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

Application orchestration in software process means you can integrate two or more applications. You 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.

The Kubernetes namespace is used in the environment wherein you have multiple users spread in geographically vast areas and working on multiple projects. What the namespace does is divide the cluster resources between multiple users.

You can think of Kubernetes Pod as a group of containers that are run on the same host. So if you regularly deploy single containers then your container and Pod will be one and the same.

The Kube proxy runs on each of the node. It can do simple tasks like TCP, UDP Forwarding and so on. It shows the services in the Kubernetes API on each node.

The components of the Kubernetes Master include the API server, the controller manager, Scheduler, and the etc components. The Kubernetes Master components are responsible for running and managing the Kubernetes cluster.