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Google Cloud for DevOps Engineers

You're reading from   Google Cloud for DevOps Engineers A practical guide to SRE and achieving Google's Professional Cloud DevOps Engineer certification

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781839218019
Length 482 pages
Edition 1st Edition
Concepts
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Author (1):
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Sandeep Madamanchi Sandeep Madamanchi
Author Profile Icon Sandeep Madamanchi
Sandeep Madamanchi
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Site Reliability Engineering – A Prescriptive Way to Implement DevOps
2. Chapter 1: DevOps, SRE, and Google Cloud Services for CI/CD FREE CHAPTER 3. Chapter 2: SRE Technical Practices – Deep Dive 4. Chapter 3: Understanding Monitoring and Alerting to Target Reliability 5. Chapter 4: Building SRE Teams and Applying Cultural Practices 6. Section 2: Google Cloud Services to Implement DevOps via CI/CD
7. Chapter 5: Managing Source Code Using Cloud Source Repositories 8. Chapter 6: Building Code Using Cloud Build, and Pushing to Container Registry 9. Chapter 7: Understanding Kubernetes Essentials to Deploy Containerized Applications 10. Chapter 8: Understanding GKE Essentials to Deploy Containerized Applications 11. Chapter 9: Securing the Cluster Using GKE Security Constructs 12. Chapter 10: Exploring GCP Cloud Operations 13. Mock Exam 1 14. Mock Exam 2 15. Other Books You May Enjoy Appendix: Getting Ready for Professional Cloud DevOps Engineer Certification

Summary

In this chapter, we discussed Kubernetes workloads in detail and considered Kubernetes as an option for deploying containerized applications. We learned about Kubernetes cluster anatomy, with a specific focus on understanding the key components that form the master control plane and the node control plane. In addition, we focused on learning key Kubernetes objects that are critical to deploying applications in the cluster, along with possible deployment strategies. Finally, we deep dived into how the master plane components interact while performing an action against an object such as Pod and discussed various factors involved in scheduling Pods onto Kubernetes nodes.

The next chapter focuses on the managed version of Kubernetes, called GKE, or GKE. The fundamental constructs of Kubernetes studied in this chapter, such as cluster anatomy or Kubernetes objects, are essentially the same for GKE. However, GKE makes cluster creation a lot easier and, in addition, GKE provides...

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