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The Kubernetes Workshop

You're reading from   The Kubernetes Workshop Learn how to build and run highly scalable workloads on Kubernetes

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Length 780 pages
Edition 1st Edition
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Authors (6):
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Zachary Arnold Zachary Arnold
Author Profile Icon Zachary Arnold
Zachary Arnold
Mohammed Abu Taleb Mohammed Abu Taleb
Author Profile Icon Mohammed Abu Taleb
Mohammed Abu Taleb
Wei Huang Wei Huang
Author Profile Icon Wei Huang
Wei Huang
Sahil Dua Sahil Dua
Author Profile Icon Sahil Dua
Sahil Dua
Mélony Qin Mélony Qin
Author Profile Icon Mélony Qin
Mélony Qin
Faisal Masood Faisal Masood
Author Profile Icon Faisal Masood
Faisal Masood
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Toc

Table of Contents (20) Chapters Close

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes FREE CHAPTER 3. kubectl – Kubernetes Command Center 4. How to Communicate with Kubernetes (API Server) 5. Pods 6. Labels and Annotations 7. Kubernetes Controllers 8. Service Discovery 9. Storing and Reading Data on Disk 10. ConfigMaps and Secrets 11. Build Your Own HA Cluster 12. Your Application and HA 13. Runtime and Network Security in Kubernetes 14. Running Stateful Components in Kubernetes 15. Monitoring and Autoscaling in Kubernetes 16. Kubernetes Admission Controllers 17. Advanced Scheduling in Kubernetes 18. Upgrading Your Cluster without Downtime 19. Custom Resource Definitions in Kubernetes

The Need for Container Orchestration

The k8s-for-beginners container we built in Exercise 1.01, Creating a Docker Image and Uploading it to Docker Hub, is nothing but a simple demonstration. In the case of a serious workload deployed in a production environment, and to enable hundreds of thousands of containers running in a cluster, we have many more things to consider. We need a system to manage the following problems:

Container Interactions

As an example, suppose that we are going to build a web app with a frontend container displaying information and accepting user requests, and a backend container serving as a datastore that interacts with the frontend container. The first challenge is to figure out how to specify the address of the backend container to the frontend container. It is not a good idea to hardcode the IP, as the container IP is not static. In a distributed system, it is not uncommon for containers or machines to fail due to unexpected issues. So, the link between...

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