Kubernetes Important interview Questions

Kubernetes Important interview Questions

Day 37 : #90DaysOfDevOps Challange

May 7, 2023ยท

9 min read

  1. What is Kubernetes, and why is it important?

  • Kubernetes is an open-source container orchestration tool that automates the deployment, scaling, and management of containerized applications.

  • It is important because it simplifies the management of containerized applications and allows for faster deployment and scaling of applications, resulting in improved reliability and reduced downtime.

  1. What is the difference between Docker Swarm and Kubernetes?

  • Docker Swarm and Kubernetes are both container orchestration tools, but there are several key differences between them.

  • Docker Swarm is simpler and easier to use than Kubernetes, making it a good choice for smaller deployments.

  • Kubernetes, on the other hand, is more powerful and scalable, making it a better choice for larger, more complex deployments.

  • Kubernetes also has a more active development community and a wider range of integrations and plugins.

  1. How does Kubernetes handle network communication between containers?

  • Kubernetes handles network communication between containers using a virtual network called a pod network.

  • Each pod has its own IP address and can communicate with other pods on the same network.

  • Kubernetes also supports multiple network plugins, which allow it to work with a variety of networking technologies.

  1. How does Kubernetes handle scaling of applications?

  • Kubernetes handles scaling of applications through its autoscaling feature, which automatically adjusts the number of pods running based on the demand for the application.

  • Kubernetes can also be manually scaled using the kubectl command-line tool or through a web-based dashboard.

  1. What is a Kubernetes Deployment, and how does it differ from a ReplicaSet?

  • A Kubernetes Deployment is a higher-level abstraction that manages ReplicaSets.

  • Deployments are used to define the desired state of an application, while ReplicaSets ensure that the desired state is met.

  • The main difference between a Deployment and a ReplicaSet is that a Deployment can perform rolling updates, while a ReplicaSet cannot.

  1. What is the concept of rolling updates in Kubernetes?

  • Rolling updates in Kubernetes are a way to update an application without downtime.

  • During a rolling update, Kubernetes gradually replaces the old pods with new ones, ensuring that the application remains available throughout the update process.

  1. How does Kubernetes handle network security and access control?

  • Kubernetes provides several built-in network security features, such as network policies, which allow administrators to control access to the pod network.

  • Kubernetes also supports several authentication and authorization methods, such as certificates and tokens, to control access to the Kubernetes API.

  1. Can you give an example of how Kubernetes can be used to deploy a highly available application?

  • To deploy a highly available application in Kubernetes, you would typically use multiple replicas of each pod, distributed across multiple nodes.

  • You would also use a load balancer to distribute traffic across the replicas, ensuring that the application remains available even if one or more replicas or nodes fail.

  1. What is a namespace in Kubernetes? Which namespace does any pod take if we don't specify any namespace?

  • In Kubernetes, a namespace is a way to organize resources into logical groups.

  • If a namespace is not specified when a pod is created, it will be created in the default namespace.

  1. How does ingress help in Kubernetes?

  • Ingress is a Kubernetes object that allows external access to services within a cluster.

  • Ingress provides a way to route traffic to different services based on the URL path or hostname of the incoming request.

  1. What are the different types of services in Kubernetes?

  • There are three types of services in Kubernetes: ClusterIP, NodePort, and LoadBalancer.

  • ClusterIP is used to expose a service on a cluster-internal IP address, NodePort is used to expose a service on each node's IP address and a specific port, and LoadBalancer is used to expose a service externally using a cloud provider's load balancer.

    1. What is the concept of self-healing in Kubernetes, and can you give examples of how it works?

  • Self-healing in Kubernetes is the ability of the platform to automatically detect and recover from failures.

  • For example, if a pod fails, Kubernetes can automatically restart the pod or spin up a new replica to replace the failed pod.

  • Kubernetes can also perform health checks on pods and services, and automatically remove or replace them if they are not functioning correctly.

  1. How does Kubernetes handle storage management for containers?

  • Kubernetes provides several mechanisms for storage management, such as persistent volumes and persistent volume claims.

  • Persistent volumes are used to create a pool of storage that can be shared by multiple pods, while persistent volume claims are used to request storage from a persistent volume.

  • Kubernetes also supports several storage plugins, such as NFS and GlusterFS, to allow for a wide range of storage options.

  1. How does the NodePort service work?

  • The NodePort service in Kubernetes allows a service to be exposed on each node's IP address and a specific port.

  • When a request is made to the node's IP address and port, Kubernetes routes the traffic to the appropriate service and pod.

  1. What is a multinode cluster and a single-node cluster in Kubernetes, and what are the differences between them?

  • A multinode cluster in Kubernetes is a cluster that spans multiple nodes, while a single-node cluster is a cluster that runs on a single node.

  • Multinode clusters are more scalable and resilient than single-node clusters, as they can distribute workloads across multiple nodes.

  • Single-node clusters are simpler and easier to set up and are often used for testing and development purposes.

  1. What is the difference between create and apply in Kubernetes?

  • In Kubernetes, the create command is used to create new resources, while the apply command is used to update existing resources.

  • When using create, any existing resources with the same name will be overwritten, while with apply, existing resources will be updated without overwriting any other fields.

  • Apply also supports declarative configuration, allowing for more efficient management of resources over time.

  1. What is a Pod in Kubernetes?

  • A Pod is the smallest unit of deployment in Kubernetes, representing a single instance of a running process in a cluster.

  • Pods are used to group one or more containers together on the same host, sharing the same network namespace and storage volumes.

  1. How does Kubernetes handle container orchestration?

  • Kubernetes uses a declarative model to manage container orchestration, allowing users to define the desired state of their application in a YAML or JSON configuration file.

  • Kubernetes then uses its control plane to monitor the cluster and ensure that the actual state of the application matches the desired state, making adjustments as necessary.

  1. What is a ConfigMap in Kubernetes?

  • A ConfigMap is a Kubernetes resource that is used to store configuration data in key-value pairs.

  • ConfigMaps can be used to store configuration data for applications running in containers, allowing for easy management and updating of configuration data.

  1. What is a DaemonSet in Kubernetes?

  • A DaemonSet is a Kubernetes resource that is used to ensure that a single copy of a pod is running on each node in the cluster.

  • DaemonSets are often used for cluster-level services such as logging or monitoring, where it is important to have a copy of the pod running on every node in the cluster.

  1. How does Kubernetes handle secrets management?

  • Kubernetes provides a built-in mechanism for managing secrets, allowing sensitive data such as passwords and API keys to be stored securely.

  • Secrets can be stored as encrypted data in etcd, and can be mounted as volumes or environment variables in containers.

  1. What is a StatefulSet in Kubernetes?

  • A StatefulSet is a Kubernetes resource that is used to manage stateful applications, such as databases.

  • StatefulSets provide guarantees around the ordering and uniqueness of pod names, allowing for stateful applications to be managed with persistence.

  1. How does Kubernetes handle rolling back deployments?

  • Kubernetes provides support for rolling back deployments to a previous version in the event of issues or failures.

  • When a deployment is rolled back, Kubernetes will automatically create a new replica set and update the service to route traffic to the previous version.

  1. What is the difference between a service and a deployment in Kubernetes?

  • A deployment is a Kubernetes resource that is used to manage the deployment and scaling of containerized applications, while a service is used to expose the application to the network.

  • A deployment manages the desired state of a pod or set of pods, while a service provides a stable IP address and DNS name for accessing the pods.

  1. What is a liveness probe in Kubernetes?

  • A liveness probe is a mechanism used by Kubernetes to determine if a pod is healthy and should continue running.

  • Liveness probes can be configured to periodically send a request to a pod, and if the pod does not respond or responds with an error, Kubernetes will automatically restart the pod.

  1. What is a readiness probe in Kubernetes?

  • A readiness probe is a mechanism used by Kubernetes to determine if a pod is ready to serve traffic.

  • Readiness probes can be used to delay traffic to a pod until it is ready, preventing errors and improving overall stability.

  1. How does Kubernetes handle node failure?

  • Kubernetes provides mechanisms for handling node failure, such as rescheduling pods on other nodes and automatically spinning up new nodes to replace failed nodes.

  • Nodes can be configured with taints and tolerations to prevent certain pods from running on a node, allowing for better management of resources in the event of node failure.

  1. What is a container image in Kubernetes?

  • A container image is a lightweight, standalone, and executable package that includes everything needed to run an application, including code, libraries, and dependencies.

  • Kubernetes uses container images as a basis for creating pods and deploying applications in a cluster.

  1. What is the Kubernetes control plane?

  • The Kubernetes control plane is a collection of components that are responsible for managing the state of the cluster and orchestrating containerized applications.

  • The control plane includes components such as the Kubernetes API server, etcd, the kube-scheduler, and the kube-controller-manager.

  1. How does Kubernetes handle DNS resolution?

  • Kubernetes provides a built-in DNS service that allows for easy service discovery within the cluster.

  • When a service is created, Kubernetes automatically creates a DNS record for the service, allowing other pods and services to easily discover and communicate with the service.

  1. What is a Helm chart in Kubernetes?

  • A Helm chart is a package manager for Kubernetes, allowing users to easily deploy and manage applications in a cluster.

  • Helm charts are templates that define a set of Kubernetes resources, including deployments, services, and other resources, that can be deployed in a cluster with a single command.

  1. What is a Kubernetes operator?

  • A Kubernetes operator is a piece of software that extends the functionality of Kubernetes by automating the management of complex applications and services.

  • Operators are typically written in Go and use the Kubernetes API to manage custom resources and interact with other Kubernetes resources in the cluster.


A strong understanding of Kubernetes concepts and best practices is essential for DevOps engineers to successfully implement and manage Kubernetes clusters, ensuring optimal performance, reliability, and security. By preparing for these questions and gaining experience with Kubernetes, DevOps engineers can advance their careers and contribute to the success of their organizations in a rapidly evolving software landscape.

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