Let’s dive into some of the few questions that are asked frequently in Kubernetes interviews:
#1: Define Kubernetes
Kubernetes is a vessel organization system advanced in the Google platform. The purpose of Kubernetes is to accomplish a containerized application in various types of physical, virtual, and cloud environments. Google kubernetes interview questions is a highly supple container tool to distribute even multifaceted applications, reliably. Applications run on bunches of hundreds to thousands of individual servers.
#2: What u mean by nides in Kubernetes?
Node the least unit of hardware. It defines a single machine in a bunch that can be a simulated machine from a cloud wage-earner or physical machine in the data center. Every machine available in the Kubernetes cluster can be used additionally to other machines.
#3: Who invented Kubernetes?
It was initially developed and designs by google. now it is being under the management of a cloud-native computing foundation.
#4. Define the terms like software and DevOps in Orchestration
The term orchestration stipulates mixing multiple services that allow them to mechanize procedures or harmonize information in a specific time arrangement.
For example, suppose we have six or seven microservices for a submission to run, then if you room them in distinct containers, this would unavoidably create problems for communication. Using orchestration, we can do it quickly to allow all services in individual ampules to work seamlessly to achieve a single goal.
#5. Explain the relationship between Docker and Kubernetes
Docker is an open-source stage used to grip software development. It is mainly used to set the settings and dependences’ that the software/application needs to run into an ampule, which allows for movability and several other compensations. On the other hand, Kubernetes is used to allow the physical linking and orchestration of several containers, running on manifold hosts that have been shaped using Docker.
#6. State the use of Kubernetes in the Kube scheduler
It is a default scheduler for Kubernetes. Its function is to assign nodes in newly created pods.
#7. What are the main schemes behind using Kubernetes?
We can use Kubernetes simply on on-premises unadorned metal, OpenStack, public clouds Google, Azure, AWS, etc.
Using Kubernetes, we can evade vendor lock issues as it can use any vendor-specific APIs or services excluding the blocks where Kubernetes delivers an abstraction, e.g., load balancer and storage.
It enables requests that need to be unconfined and efficient without any downtime.
#8. State the Kubernetes network policy
The defined network policy specifies the communication between the namespace pods and the network endpoint.
#9. What do you mean by a pod in Kubernetes?
In Kubernetes, ampules are not run directly so, pods are high-level structures used to wrap one or more vessels to make them able to run. Containers in the same pod share a resident network and the same resources. That’s why they can effortlessly communicate with other containers in the same pod. In this way, they were on the same machine while upholding a degree of remoteness.
#10. What is meant by the cluster of containers in Kubernetes?
A cluster of containers is nothing but a customary of machine elements or nodes. Clusters specify exact routes so that the containers consecutively on the nodes can communicate with each other. In Kubernetes, the container engine also delivers holding for the API server.
#11. What is the term kubelet in Kubernetes?
In Kubernetes, the kubelet is a facility agent used to switch and uphold a group of pods by inspection pod riders. The kubelet runs on each node and makes them able to connect between a master node and a slave node.
#12. Give the full form of GKE and state its use
The full form of the is google container engine. It is a platform that manages clusters of containers that are functioned within the public cloud services of google.
#13. Give out the difference between a daemon set, a deployment, and a replication controller.
A daemon set is used to safeguard that all nodes you have designated are consecutively precisely one copy of a pod. A deployment is a reserved object in Kubernetes. It is used to provide asserting updates to applications. So it also manages the preparation and lifecycle of pods.
It offers many key features for handling pods, such as pod health checks, rolling updates of pods, the aptitude to roll back and quickly scale pods straight.
The replication controller is used to stipulate how many exact copies of a pod should be consecutively in a cluster. It differs from a deployment in that it does not offer pod health checks, and the rolling update process is not as vigorous.