Kubernetes has been noted quite widely in many circles related to the use of container technologies. This has been one of the reasons for large scale demand for Kubernetes interview questions.
However, before looking for the best Kubernetes interview questions, you need to have a basic idea about Kubernetes itself. In the most basic sense, Kubernetes can be described as a cluster and container management tool.
It is not dependent on vendors and is an open-source tool that provides a platform for automation of deployment, operations, and scaling of application containers across host clusters. The applications of Kubernetes have been associated with considerably lower costs for cloud computing expenses. Also, it has been a promising instrument in simplification of architecture as well as operations. With this basic information on Kubernetes, let us start this discussion on the most popular Kubernetes interview questions and answers.
These are the most frequently asked in a Kubernetes interview by the interviewer. So, if you are preparing for a Kubernetes interview, these questions will help you ace the interview. Answer: The first entry in this list of Kubernetes interview questions is probably one of the most basic ones. However, the majority of interviewers never skip this basic question. The most applicable response would be that Kubernetes is an open-source tool for container management, and it is responsible for deployment, scaling, and descaling of containers.
Kubernetes is also helpful for load balancing. As a product of Google, Kubernetes allows access to a large community and flexibility for working with the majority of cloud providers. In simple words, Kubernetes can be described as a multi-container management solution rather than as a container platform. Answer: This is one of the most common questions asked in a Kubernetes interview.
You can find this question commonly in all the lists of Kubernetes interview questions. The candidate should answer this question as Docker is a platform used for lifecycle management of containers with a Docker image, responsible for building runtime containers. However, Kubernetes is the solution for communication between the individual containers.
Therefore, Kubernetes helps in manual linking and orchestration of containers running on multiple hosts created using Docker. Let us move towards the next entry in Kubernetes interview questions. Answer: The third entry is also one of the top Kubernetes interview questions. The answer to this Kubernetes interview question would be a little detailed with a focus on different points.
The difference points include installation and cluster configuration, GUI, auto-scaling, data volume, scalability, load balancing, logging and monitoring, and rolling updates and rollbacks.
Here are the main points of difference between Kubernetes and Docker Swarm. Answer: The answer to another one of the frequently asked Kubernetes interview questions shall be based on an example. If there are around 8 or 10 microservices for an application, and each of them is placed in separate containers, it would create obstacles for communication.
Therefore, container orchestration becomes mandatory in such cases. Orchestration helps in enabling all services in individual containers to work in unison for accomplishing goals of a single server. You can point out the distinct features of automated scheduling, horizontal scaling, load balancing and self-healing capabilities as well as automated rollouts and rollbacks.
The answer to this question would refer back to the basic objective of Kubernetes. As an orchestration tool, Kubernetes helps a cluster of containers in an application running on multiple hosts to communicate with each other.Prepare better for your Application developer interview with the top Kubernetes interview questions curated by our experts.
The following list of interview questions on Kubernetes covers the conceptual questions for freshers and experts and helps you answer different questions like the difference between config map and secret, ways to monitor that a Pod is always running, ways to test a manifest without actually executing it. Get well prepared with these interview questions and answers for Kubernetes.
What is the difference between config map and secret? Differentiate the answers as with examples. Config maps ideally stores application configuration in a plain text format whereas Secrets store sensitive data like password in an encrypted format. Both config maps and secrets can be used as volume and mounted inside a pod through a pod definition file. When a node is tainted, the pods don't get scheduled by default, however, if we have to still schedule a pod to a tainted node we can start applying tolerations to the pod spec.
The mapping between persistentVolume and persistentVolumeClaim is always one to one. Even When you delete the claim, PersistentVolume still remains as we set persistentVolumeReclaimPolicy is set to Retain and It will not be reused by any other claims.
Below is the spec to create the Persistent Volume. What kind of object do you create, when your dashboard like application, queries the Kubernetes API to get some data? You should be creating serviceAccount.
A service account creates a token and tokens are stored inside a secret object. By default Kubernetes automatically mounts the default service account. However, we can disable this property by setting automountServiceAccountToken: false in our spec. Also, note each namespace will have a service account. A Pod always ensure that a container is running whereas the Job ensures that the pods run to its completion.
14 Kubernetes interview questions: For hiring managers and job seekers
Job is to do a finite task. By default Deployment in Kubernetes using RollingUpdate as a strategy. Let's say we have an example that creates a deployment in Kubernetes. From the above, we can notice that one more replica set was added and then the other replica set was brought down.
This is ideal in many scenarios where the container is running but somehow the application inside a container crashes.Here are Kubernetes Interview Questions for fresher as well as experienced candidates to get the dream job. Kubernetes is a container management system developed in the Google platform.
The purpose of kubernetes is to manage a containerized application in various types of physical, virtual, and cloud environments. Google Kubernetes is a highly flexible container tool to deliver even complex applications, consistently. Applications run on clusters of hundreds to thousands of individual servers. It defines a single machine in a cluster that can be a virtual machine from a cloud provider or physical machine in the data center.
Every machine available in the Kubernetes cluster can substitute other machines. Kube-scheduler is the default scheduler for Kubernetes. It assigns nodes to newly created pods. They are used for host layers attributes like monitoring network or simple network. Kubernetes is the Linux kernel which is used for distributed systems. It helps you to be abstract the underlying hardware of the nodes servers and offers a consistent interface for applications that consume the shared pool of resources.
It enables the running of more than one process on the master node. Namespaces in Kubernetes are used for dividing cluster resources between users.
It helps the environment where more than one user spread projects or teams and provides a scope of resources. It helps you to avoid vendor lock issues as it can use any vendor-specific APIs or services except where Kubernetes provides an abstraction, e. It will enable applications that need to be released and updated without any downtime.
Kubernetes allows you to assure those containerized apps run where and when you want and help you to find resources and tools which you want to work. It is the entry point for all kinds of administrative tasks. There may be more than one master node in the cluster to check for fault tolerance.
Scheduler: The scheduler schedules the tasks to the slave node. It stores the resource usage information for every slave node. It is responsible for distributing the workload. Etcd: etcd components, store configuration detail, and wright values. It communicates with the most component to receive commands and work.
It also manages network rules and port forwarding activity. Kubelet: It gets the configuration of a Pod from the API server and ensures that the described containers are up and running. Docker Container: Docker container runs on each of the worker nodes, which runs the configured pods. Pods: A pod is a combination of single or multiple containers that logically run together on nodes. It opens a particular port on all nodes and forwards network traffic sent to this port.
The kubelet runs on each node and allows to communicate between a master node and a slave node. Kubernetes dashboard is not as helpful as it should be Security is not very effective. It is very complex and can reduce productivity Kubernetes is more costly than its alternatives.
Kube-proxy is an implementation of both a network proxy and a load balancer. It is used to support service abstraction used with other networking operations. It is responsible for directing traffic to the container depend on IP and the port number.Jump to navigation. Job interviews are hard for people on both sides of the table, but I've discovered that interviewing candidates for Kubernetes-related jobs has seemed especially hard lately.
Why, you ask? For one thing, it's hard to find someone who can answer some of my questions. Also, it has been hard to confirm whether they have the right experience, regardless of their answers to my questions. I'll skip over my musings on that topic and get to some questions that you should ask of any job candidate who would be working with Kubernetes. I've always found this question to be one of the best ones to ask in interviews. I always hear, "I work with Kubernetes," but when I ask, "what is it?
While he is not wrong, I'll give you a more detailed version. Kubernetes is a portable container orchestration tool that is used to automate the tasks of managing, monitoring, scaling, and deploying containerized applications. I've found that "an orchestration tool for deploying containerized applications" is probably as good as you're going to get as an answer, which in my opinion is good enough.
While many believe Kubernetes adds a great deal more, overall, it offers many APIs to add to this core feature: container orchestration. In my opinion, this is one of the best questions you can ask in an interview, as it at least proves whether the candidate knows what Kubernetes is. This question reveals a great first look at the complexity of Kubernetes. It shifts the conversation to an architectural overview and can lead to many interesting follow-up details.
It has also been explained incorrectly to me an innumerable amount of times. More on Kubernetes What is Kubernetes? A node is the worker machine. This machine can be a virtual machine VM or a physical machine, depending on whether you are running on a hypervisor or on bare metal. The node contains services to run containers, including the kubelet, kube-proxy, and container runtime.Search Tutorials.
Kubernetes Interview Questions. In this post we will look at Kubernetes questions. Examples are provided with explanation.
Kubernetes Interview Questions and Answers 2019 2020
Q: What is Kubernetes? A: Kubernetes is Google's open source system for managing Linux containers across private, public and hybrid cloud environments. It is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available. It contains tools for orchestration, service discovery and load balancing that can be used with Docker and Rocket containers.
As needs change, a developer can move container workloads in Kubernetes to another cloud provider without changing the code. It helps automates the deployment, scaling, maintenance, scheduling and operation of multiple application containers across clusters of nodes. Understanding need for Kubernetes Q: What are the advantages of Kubernetes? A: The advantages of using Kubernetes are as follows- Automated Scheduling- Kubernetes provides advanced scheduler to launch container on cluster nodes.
Kubernetes role is to automate the distribution scheduling of application containers across a cluster in an efficient way. Auto Healing Capabilities - Kubernetes auto-healing mechanisms, such as auto-restarting, re-scheduling, and replicating containers Automated Rollback - Sometimes you may want to rollback a Deployment; for example, when the Deployment is not stable, such as crash looping.
By default, all of the Deployments rollout history is kept in the system so that you can rollback anytime you want. Horizontal Scaling - Autoscaling is one of the key features in Kubernetes cluster. It is a feature in which the cluster is capable of increasing the number of nodes as the demand for service response increases and decrease the number of nodes as the requirement decreases.
Q: What is Docker? A: Consider a scenario - You have just joined a new organization as a developer. You will now have to setup the project with the assistance of a fellow developer.
He suggests you follow certain steps for setting up the required environment and then start the project deployable like a WAR. You do the same, but keep getting some or other issues regarding environment configuration.
May be even your fellow developer has forgot some configuration property he might have set. Well you are stuck in such a situation. This is known as Dependency Hell. Other similar scenario of this dependency hell are - The application is running on my dev machine but not in production.
Dont know what issue is. There is also other scenarios like Matrix of Hell. Docker to the rescue. Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. A: Docker already has its own orchestration manager named Docker Swarm.
Docker Swarm is much easier to use and does not require to learn any new tool or technology since its part of Docker. Kubernetes helps manage more complex container deployments while Docker Swarm offers a simple approach to get started with. Kubernetes helps support higher demands production environments and is used by many large organizations.
A: Following scenarios a java developer can use docker- Sharing development workspace, with preconfigured development environment. Continuous integration is one of the most popular use cases for Docker.Getting a new tech job in is no small feat. These days, we expect our tech workers to know more than ever. The tech universe is vast, and nobody is an expert on everything.
Maybe you just want some pointers to help you get started. This question is here to warm you up. When I interview candidates, I always try to start with a simple question to help them ease into the interview.
Top 20 Kubernetes Interview Questions & Answers You Need To Know in 2020
Interviews are stressful situations! Instead, this is here to give you a chance to break the ice. No single answer to this question is going to land you a job. But a good answer here will set you on good footing for the rest of the interview. So, what does a good answer to this question look like? Talk about the way that Docker containers simplify application deployment.
Explaining how they enable teams to deploy full containers that contain everything needed to run a single application. After your first softball question, this question is looking for context. The interviewer is likely asking to try to understand how well you understand the use case for Kubernetes.
Being able to talk about decisions around Kubernetes you made in the past and relating them to the role in question is the best way to answer this question. Maybe this is a stretch goal for you. Talk about a situation in the past where Kubernetes would have been a good fit. Things like simplifying deploys or self-healing ecosystems. Then talk about the ways Kubernetes would have alleviated those problems. This question is asking you to show your knowledge of the broader container orchestration ecosystem.
This is the sort of question where you should expect to see a variety of follow-up questions. However, when faced with a question like this, I like to ask a clarifying question before I launch into an answer. I do this because there are really two directions you can take this answer. The first is to dive into the very technical.
Kubernetes job interview questions: How to prepare
You can talk about things like the differences in networking architecture, or the different APIs between systems. Instead, your interviewer might ask you to talk about some of the higher level differences.But there are only a few skilled experts to fill the vast demand for Kubernetes certified professionals. Moreover, the present-day job selection procedures put immense value on technical concepts.
So, it is always advisable to prepare your answers to Kubernetes interview questions beforehand. The basic idea behind Kubernetes is to abstract the underlying computer resources. It takes machines, storage, and networks away from their physical implementations. No doubt, the momentum behind the platform is on the rise. If you are thinking of pursuing a career in this field, go through the Kubernetes interview questions given below.
Take that first step and acquaint yourself with the fundamentals! Kubernetes is much more than a containerization platform. It automates the tasks of deploying, scaling, and load-balancing of applications.
Also, this multi-container management tool works well with most cloud providers and benefits from the contributions of an adept open-source community. Kubernetes is written in Go programming languages. Docker Swarm is a tool for building containers for their lifecycle management. Kubernetes is more extensive than Docker Swarm as it is meant to orchestrate clusters and coordinate clusters of nodes at scale. Even though Kubernetes is highly scalable, Docker Swarm is about five times faster to scale than Kubernetes.
Also, Docker Swarm does automatic load balancing of traffic between different containers, for which manual intervention is needed in Kubernetes. But, Kubernetes has other capabilities. It has in-built logging and monitoring tools along with an auto rollback mechanism. Docker Swarm cannot do automatic rollbacks and auto-scale like Kubernetes. When you deploy an application on hosts, the kernel of the operating system allows many libraries to be installed on it.
All the applications share the various libraries present on that operating system. However, the architecture of deploying applications on containers is a bit different. In the containerized architecture, the kernel is the only thing common between the applications. Other applications cannot encroach upon the libraries and binaries needed by one application.DevOps Interview Warmup Questions
So, they exist in isolation from the rest of the system. For example, if a particular application requires Python, then only that application will get access to it. Suppose that there are microservices for an application. Now, these microservices would be in individual containers.