20 Amazon Elastic Container Service for Kubernetes Interview Questions and Answers

Amazon Elastic Container Service for Kubernetes (EKS) is a managed service that makes it easy for you to run Kubernetes on AWS. EKS is a great solution for those who want to use Kubernetes without the hassle of managing the underlying infrastructure. If you’re interviewing for a position that involves Amazon EKS, you’re likely to be asked some questions about it. In this article, we’ll review some of the most common Amazon EKS interview questions and how you should answer them.

Amazon Elastic Container Service for Kubernetes Interview Questions and Answers

Here are 20 commonly asked Amazon Elastic Container Service for Kubernetes interview questions and answers to prepare you for your interview:

1. What is Amazon Elastic Container Service for Kubernetes?

Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS. Amazon EKS runs the Kubernetes management infrastructure for you across multiple AWS Availability Zones to eliminate a single point of failure. Amazon EKS is also integrated with many AWS services to provide scalability and security for your applications, including the following:

– Elastic Load Balancing for load distribution
– IAM for authentication
– Amazon VPC for isolation
– Amazon CloudWatch for monitoring
– AWS CloudTrail for logging

2. Can you explain some of the main aims and use cases for EKS?

EKS is a managed service that makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS. EKS is ideal for applications that require high availability and fault tolerance, such as web applications, microservices, and data processing pipelines.

3. Can you describe what a kubernetes cluster is?

A kubernetes cluster is a group of servers that are used to run containerized applications. Kubernetes is a system for managing and deploying containerized applications. It is designed to make it easy to deploy and manage applications in a clustered environment.

4. How does an EKS stack differ from regular EC2 instances?

EKS is a managed service that makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS. EKS runs up-to-date versions of the open-source Kubernetes software, so you can use all the existing plugins and tooling from the Kubernetes community. EKS is also integrated with many AWS services to provide a rich and seamless experience for running your containerized workloads.

5. Do I need to install all the dependencies of Kubernetes on each node in order to run it on EKS?

No, you don’t need to install all of the dependencies of Kubernetes on each node. EKS will take care of that for you.

6. What are two ways that customers can run their applications on EKS?

Customers can either use the EKS-managed Kubernetes control plane, or they can launch and manage their own Kubernetes control plane on AWS.

7. Can you give me some examples of where EKS might be used?

EKS can be used for a variety of workloads, including but not limited to containerized microservices, big data applications, and CI/CD pipelines.

8. How long would it take to set up a basic EKS deployment?

It would take around 30 minutes to set up a basic EKS deployment. This would include creating the EKS cluster, configuring kubectl, and deploying a simple application.

9. How do you configure AWS VPCs, security groups, subnets, and other network resources when setting up an EKS cluster?

You will need to configure your VPC in order to allow communication between your EKS cluster and your worker nodes. You will also need to create a security group for your EKS cluster that will allow traffic from your worker nodes. Finally, you will need to create subnets for your EKS cluster in order to allow communication between your EKS cluster and the internet.

10. What are some advantages of using EKS over other container orchestration solutions like Docker Swarm or Apache Mesos?

EKS provides a managed Kubernetes service, which means that you don’t have to worry about installing, configuring, and maintaining your own Kubernetes cluster. This can save you a lot of time and effort, particularly if you’re not already familiar with Kubernetes. In addition, EKS is integrated with other AWS services, which can make it easier to set up and manage your containerized applications.

11. What’s the difference between Amazon ECS and Amazon EKS?

Amazon ECS is a container orchestration service that helps you run and manage Docker containers on AWS. Amazon EKS is a managed service that makes it easy for you to run Kubernetes on AWS.

12. Which platform should I choose for my application if I’m looking for scalability: Amazon ECS or Amazon EKS?

If you are looking for scalability, you should choose Amazon EKS.

13. What are the differences between Amazon ECS, Amazon Fargate, and Amazon EKS?

Amazon ECS is a container orchestration service that helps you run and manage containerized applications on AWS. Amazon Fargate is a serverless compute engine for containers that works with Amazon ECS. Amazon EKS is a managed Kubernetes service that makes it easy for you to run Kubernetes on AWS.

14. What is your understanding of the term “pod” in the context of Amazon EKS?

A pod is a group of one or more containers, with shared storage/network, and a specification for how to run the containers. Pods are the smallest deployable units in Kubernetes.

15. Can you explain what service discovery is?

Service discovery is a method of automatically identifying and configuring the services that are running on a network. This can be done through a variety of means, such as by using a central repository that stores information about the services that are available, or by using a broadcast mechanism that allows services to announce their presence to other devices on the network.

16. What are the key components involved with Amazon EKS setup?

The key components involved in setting up Amazon EKS are the Amazon EKS control plane and the Amazon EKS worker nodes. The Amazon EKS control plane is responsible for managing the Kubernetes cluster, while the Amazon EKS worker nodes are the actual servers that run the applications and services within the cluster.

17. Why should we prefer microservices over monolithic architecture?

There are several reasons why microservices are often preferred over monolithic architecture, especially when it comes to containerized applications. First, microservices can be easier to develop and deploy, since they are self-contained and can be updated and deployed independently from other services. This can make for a more agile development process. Additionally, microservices can be more scalable than monolithic applications, since they can be deployed independently and scaled up or down as needed. Finally, microservices can be more resilient, since if one service goes down, the others can continue to run.

18. In which scenarios will you recommend deploying containers on bare metal instead of virtual machines?

There are a few reasons you might want to consider deploying containers on bare metal instead of virtual machines. One reason is that containers are more lightweight than virtual machines, so they can be deployed and scaled more quickly. Another reason is that containers can make better use of a server’s resources, since they share the kernel with the host operating system. Finally, containers can provide better performance than virtual machines, since they don’t have the overhead of a virtualization layer.

19. What happens when pods die unexpectedly? Does EKS automatically restart them?

When pods die unexpectedly, EKS does not automatically restart them. Instead, it is up to the user to configure their own pod restart policies. This can be done using the kubelet’s –pod-infra-container-image flag, which allows you to specify the image that will be used for the pod’s infrastructure container. By default, this is set to the gcr.io/google_containers/pause:2.0 image, which simply pauses the pod until it is manually restarted.

20. When developing a new app, how do you decide whether to deploy it as a microservice or not?

There are a few key considerations that go into deciding whether or not to deploy an app as a microservice. The first is whether or not the app can be broken down into smaller, independent components. If it can, then it may be a good candidate for microservices. The second consideration is whether or not the app will benefit from the scalability and flexibility that microservices offer. If it will, then microservices may be the way to go. Finally, you need to consider the operational overhead of managing a microservices architecture. If you have the resources to do so, then microservices may be a good option.