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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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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

Illustrating the impact of SLAs, SLOs, and error budgets relative to SLI

In this section, we will go through two hands-on scenarios to illustrate how SLO targets are met or missed based on SLI performance over time. SLOs performance will have direct impact on SLAs and error budgets. Changes in the error budget will specifically dictate the priority between the release of new features versus service reliability. For ease of explanation, a 7-day period is taken as the measure of time (ideally, a 28-day period is preferred).

Scenario 1 – New service features introduced; features are reliable; SLO is met

Here are the expectations for this scenario:

  • Expected SLA—95%
  • Expected SLO—98%
  • Measured SLI—Service availability or uptime
  • Measure duration—7 days

Given that the anticipated SLO for service is 98%, here is how the allowed downtime or error budget is calculated (you can use this downtime calculator for reference: https...

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