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The Complete Kubernetes Guide

You're reading from   The Complete Kubernetes Guide Become an expert in container management with the power of Kubernetes

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838647346
Length 628 pages
Edition 1st Edition
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Authors (3):
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Jesse White Jesse White
Author Profile Icon Jesse White
Jesse White
Gigi Sayfan Gigi Sayfan
Author Profile Icon Gigi Sayfan
Gigi Sayfan
Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Toc

Table of Contents (26) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Introduction to Kubernetes 2. Understanding Kubernetes Architecture FREE CHAPTER 3. Building a Foundation with Core Kubernetes Constructs 4. Working with Networking, Load Balancers, and Ingress 5. Using Critical Kubernetes Resources 6. Exploring Kubernetes Storage Concepts 7. Monitoring and Logging 8. Monitoring, Logging, and Troubleshooting 9. Operating Systems, Platforms, and Cloud and Local Providers 10. Creating Kubernetes Clusters 11. Cluster Federation and Multi-Tenancy 12. Cluster Authentication, Authorization, and Container Security 13. Running Stateful Applications with Kubernetes 14. Rolling Updates, Scalability, and Quotas 15. Advanced Kubernetes Networking 16. Kubernetes Infrastructure Management 17. Customizing Kubernetes - API and Plugins 18. Handling the Kubernetes Package Manager 19. The Future of Kubernetes 1. Other Books You May Enjoy Index

Stateful versus stateless applications in Kubernetes


A stateless Kubernetes application is an application that doesn't manage its state in the Kubernetes cluster. All of the state is stored outside the cluster and the cluster containers access it in some manner. In this section, we'll understand why state management is critical to the design of a distributed system and the benefits of managing state within the Kubernetes cluster.

Understanding the nature of distributed data-intensive apps

Let's start from the basics here. Distributed applications are a collection of processes that run on multiple machines, process inputs, manipulate data, expose APIs, and possibly have other side effects. Each process is a combination of its program, its runtime environment, and its inputs and outputs. The programs you write at school get their input as command-line arguments, maybe they read a file or access a database, and then write their results to the screen or a file or a database. Some programs keep...

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