Kubernetes, often called K8s, is a versatile platform designed to orchestrate and manage containerized workloads and services. It automates the allocation of application workloads across Kubernetes clusters, streamlines container networking, and allocates storage and persistent volumes to containers. The increasing adoption of Kubernetes by enterprises has fueled a surge in demand for skilled Kubernetes developers. As organizations leverage Kubernetes to build and operate modern applications, the need for professionals proficient in this technology has become paramount.
Being a Kubernetes Developer or building a team of Kubernetes engineers could be quite the dream. It is usually a well-paying job with good prospects and quite a soaring demand in the market. But, to get there, there is one big hurdle to cross – the interview process for hiring. That sure isn’t an easy step and can be quite mind-boggling.
If you would like some help preparing for the technical interview for Kubernetes Developers or get some tools to interview individuals for the role of a Kubernetes Developer or Engineer, read on.
Here are some commonly asked questions in a technical interview for Kubernetes Developers and Engineers:
- Are you familiar with Kubernetes?
Yes, I am. Kubernetes is an open-source platform for managing containerized applications. It helps automate containerized applications’ scaling, deployment, and management, enabling them to run seamlessly across different computing environments. It has been around for over 15 years. It has become the standard tool for managing containerized applications, while also having a very strong & active global community contributing to its development. - How are Kubernetes and Docker linked?
Docker is used to build containers which then communicate with each other using Kubernetes. Kubernetes supports multiple container runtimes like Docker, CRI-O, etc. Both these tools are generally used together for building, deployment, and management of containerized applications in a distributed environment. - What is container orchestration?
The process of managing and coordinating the deployment, scaling, and operation of multiple containers running on a single server or multiple servers is called container orchestration. The process automates different tasks like container provisioning, networking, resource allocation, load balancing, availability, as well as lifecycle management tasks. Various tools are used for container orchestration like Kubernetes, Docker Swarm, Apache Mesos, etc. - What is the need for container orchestration?
When you are working with containers, container orchestration is a very critical process. Besides being essential for managing and automating the deployment, scaling, and management of containerized applications, it is also necessary for reducing operational overheads, increasing efficiency and stability, as well as ensuring infrastructure availability. So, container orchestration is critical for improving application performance. - What are the best features of Kubernetes, according to you?
Kubernetes is a feature-packed tool for container orchestration that most of us can’t think of working with containerized applications without. According to me, some of the best features of Kubernetes are:- Automated scheduling to schedule containers to run on available resources in the cluster
- It is self-healing so failed containers are automatically replaced and required rescheduling done to compensate
- Automated deployments for easy automated rollouts and rollbacks, as needed
- Effective load balancing and horizontal scaling so the traffic can be scaled easily and distributed across multiple instances for seamless operations
- Very good security and compliance management with features like access control ensuring the security of clusters as well as being compliant with organization policies
- What are clusters in Kubernetes?
In Kubernetes, clusters are a group of interconnected physical or virtual machines, called nodes, that work together to run containerized applications in a distributed and fault-tolerant fashion. Clusters enable the orchestration and monitoring of containers across multiple physical, virtual, and cloud servers. - What is a Google Container Engine?
The Google Container Engine is a Google-managed implementation of Kubernetes for clusters and Docker containers. It is also called Google Kubernetes Engine. The Engine provides a managed environment that can be used for deploying, scaling, and managing containerized applications using Google infrastructure. It simplifies these processes in a production environment. - What is Heapster?
Heapster is a cluster-wide aggregator of data running on every node. It is a flexible and modular Kubernetes project that serves as a robust monitoring solution for Kubernetes clusters. However, since the Kubernetes 1.11 release, Heapster has been deprecated and replaced by the Kubernetes Metrics Server. - What is Minikube?
Minikube is the lightweight implementation of Kubernetes. It creates a virtual machine on the local machine, intended for specific use cases. Minikube will create a self-contained and light-weight environment on the local machine that contains all the components essential to run Kubernetes enabling developers to experiment or work on their projects without needing a full-scale production environment. - What is kubectl?
Kubectl is a command-line tool for sending commands to the cluster. It is a Kubernetes-specific command and cannot be used with other tools, and it helps communicate with different Kubernetes clusters. It can be used for varied purposes like deploying applications, inspecting and managing clusters as well as their resources, viewing logs, debugging applications, managing remote clusters, managing cloud clusters, etc.
These are some of the most asked questions during the technical interviews for Kubernetes engineers and Kubernetes developers. Whether you are the interviewer or the interviewee, going prepared to take or give the interview is essential. Always brush up on your basics and revise all the concepts before an interview. There is indeed nothing like being too prepared when it comes to interviews.
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Kubernetes is an open-source orchestration system for automating the management, placement, scaling, and routing of containers. It provides an API to control how and where the containers would run. Docker is also an open-source container-file format for automating the deployment of applications as portable, self-sufficient containers that can run in the cloud or on-premises. Together, Kubernetes and Docker have become hugely popular among developers, especially in the DevOps world.
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Both Docker and Kubernetes are huge open-source technologies, largely written in the Go programming language, that use human-readable YAML files to specify application stacks and their deployment.
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Cognixia’s Docker and Kubernetes online training covers:
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