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Cracking the Kubernetes Interview

Cracking the Kubernetes Interview

By : Viktor Vedmich, Alexander Dovnar
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Cracking the Kubernetes Interview

Cracking the Kubernetes Interview

By: Viktor Vedmich, Alexander Dovnar

Overview of this book

In the high-stakes world of cloud-native technologies, Kubernetes technical interviews are notoriously challenging, and theory-heavy resources leave candidates unprepared for real-world scenarios. This guide by Viktor Vedmich and Alexander Dovnar, two seasoned professionals with decades of combined experience in DevOps, AWS, and Kubernetes architecture, bridges that gap to help you unlock actionable strategies and insights to excel in even the toughest interviews. Beginning with core concepts such as Pods and Services, the book guides you through scaling, networking, GitOps, and deployment strategies. You’ll explore advanced topics, including security, observability, monitoring, and troubleshooting, all framed in the context of real-world interviews. Each chapter includes practical scenarios and authentic questions that test both your understanding and problem-solving skills. Rather than relying on rote memorization, this guide helps you develop the depth and confidence expected of top-tier Kubernetes professionals. By the end of this hands-on journey, you'll be ready to take on roles from junior DevOps engineer to senior architect, equipped with the practical expertise needed to stand out in today’s competitive hiring process.
Table of Contents (27 chapters)
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Lock Free Chapter
1
Part 1: Introduction to Kubernetes
4
Part 2: Schedulers, Workloads, and Scaling
8
Part 3: Networking, Services, and Security
13
Part 4: Deployment, Application Management, and GitOps
16
Part 5: Reliability, Monitoring, and Maintenance
21
Part 6: Troubleshooting and Best Practices
25
Other Books You May Enjoy
26
Index

Autoscaling in Action

Let’s journey further into Kubernetes autoscaling. Imagine your app hits the spotlight and user numbers soar. You’d want it to handle this new popularity seamlessly. That’s where Kubernetes autoscaling proves invaluable. It scales your app’s resources up or down based on traffic, ensuring solid performance without wasting money.

We’ve touched on how to scale within a Kubernetes cluster using the Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) in earlier chapters. Now, we’ll zoom out to see how to expand the cluster’s capacity itself, ensuring it can handle the increased load.

Remember, Kubernetes is a dual-structured system. There’s the control plane and the worker nodes. In a cloud service scenario, the provider usually scales the control plane for you. Many cloud services, such as AWS, offer managed solutions that handle the scaling for you. This is highly recommended, as it offloads...

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Cracking the Kubernetes Interview
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