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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

Chapter 10: Exploring GCP Cloud Operations

Reliability is the most critical feature of a service or a system. Site Reliability Engineering (SRE) prescribes specific technical tools or practices that help in measuring characteristics that define and track reliability, such as SLAs, SLOs, SLIs, and error budgets.

In Chapter 2, SRE Technical Practices – Deep Dive, we discussed the key constructs of SLAs in detail, the need for SLOs to achieve SLAs, the guidelines for setting SLOs, and the need for SLIs to achieve SLOs. In addition, we learned about the different types of SLIs based on user journey categorization, different sources to measure SLIs, the importance of error budgets, and the ways to set error budgets to make a service reliable.

This raises a series of fundamental questions:

  • How can we observe SLIs for a service so that the SLOs are not violated?
  • How can we track whether our error budgets are getting exhausted?
  • How can we maintain harmony between...
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