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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
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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 FREE CHAPTER 2. Understanding Kubernetes Architecture 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

Summary


We took a look at the overall architecture for Kubernetes, as well as the core constructs provided to build your services and application stacks. You should have a better understanding of how these abstractions make it easier to manage the life cycle of your stack and/or services as a whole and not just the individual components. Additionally, we took a first-hand look at how to manage some simple day-to-day tasks using pods, services, and replication controllers. We also looked at how to use Kubernetes to automatically respond to outages via health checks. Finally, we explored the Kubernetes scheduler and some of the constraints users can specify to influence scheduling placement.

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