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The Kubernetes Workshop

You're reading from  The Kubernetes Workshop

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781838820756
Pages 780 pages
Edition 1st Edition
Languages
Authors (6):
Zachary Arnold Zachary Arnold
Profile icon Zachary Arnold
Sahil Dua Sahil Dua
Profile icon Sahil Dua
Wei Huang Wei Huang
Profile icon Wei Huang
Faisal Masood Faisal Masood
Profile icon Faisal Masood
Mélony Qin Mélony Qin
Profile icon Mélony Qin
Mohammed Abu Taleb Mohammed Abu Taleb
Profile icon Mohammed Abu Taleb
View More author details

Table of Contents (20) Chapters

Preface
1. Introduction to Kubernetes and Containers 2. An Overview of Kubernetes 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

Introduction

In previous chapters, we created Deployments to create multiple replicas of our application and exposed our application using Services. However, we have not yet properly explored how Kubernetes facilitates applications to store and read data, which is the subject of this chapter.

In practice, most applications interact with data in some way. It's possible that we may have an application that needs to read data from a file. Similarly, our application may need to write some data locally in order for other parts of the application, or different applications, to read it. For example, if we have a container running our main application that produces some logs locally, we would want to have a sidecar container (which is a second container running inside the pod along with the main application container) that can run inside the same pod to read and process the local logs produced by the main application. However, to enable this, we need to find a way to share the storage...

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