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The Kubernetes Workshop

The Kubernetes Workshop

By : Zachary Arnold , Sahil Dua , Wei Huang , Faisal Masood, Mélony Qin, Mohammed Abu Taleb
4.9 (9)
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The Kubernetes Workshop

The Kubernetes Workshop

4.9 (9)
By: Zachary Arnold , Sahil Dua , Wei Huang , Faisal Masood, Mélony Qin, Mohammed Abu Taleb

Overview of this book

Thanks to its extensive support for managing hundreds of containers that run cloud-native applications, Kubernetes is the most popular open source container orchestration platform that makes cluster management easy. This workshop adopts a practical approach to get you acquainted with the Kubernetes environment and its applications. Starting with an introduction to the fundamentals of Kubernetes, you’ll install and set up your Kubernetes environment. You’ll understand how to write YAML files and deploy your first simple web application container using Pod. You’ll then assign human-friendly names to Pods, explore various Kubernetes entities and functions, and discover when to use them. As you work through the chapters, this Kubernetes book will show you how you can make full-scale use of Kubernetes by applying a variety of techniques for designing components and deploying clusters. You’ll also get to grips with security policies for limiting access to certain functions inside the cluster. Toward the end of the book, you’ll get a rundown of Kubernetes advanced features for building your own controller and upgrading to a Kubernetes cluster without downtime. By the end of this workshop, you’ll be able to manage containers and run cloud-based applications efficiently using Kubernetes.
Table of Contents (20 chapters)
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Preface

Summary

Let's reflect a bit on how far we've come from Chapter 11, Build Your Own HA Cluster, when we started to talk about running Kubernetes in a highly available manner. We covered how to set up a production cluster that was secure in the cloud and created using infrastructure as code tools such as Terraform, as well as secured the workloads that it runs. We also looked at necessary modifications to our applications in order to scale them well—both for the stateful and stateless versions of the application.

Then, in this chapter, we looked at how we can extend the management of our application runtimes using data specifically when introducing Prometheus, Grafana, and the Kubernetes Metrics server. We then used that information to leverage the HPA and the ClusterAutoscaler so that we can rest assured that our cluster is always appropriately sized and ready to respond to spikes in demand automatically without having to pay for hardware that is overprovisioned...

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