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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

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781839218019

Length 482 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

DevOps

Author (1):

Sandeep Madamanchi

View More author details

Table of Contents (17) Chapters

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

Answers

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 the key elements that are required to build an SRE team. In addition, we discussed key cultural practices that help to implement the technical practices. This concludes the first section of the book focussed on SRE (Chapters 1-4). The next set of chapters (Chapters 5-10) will focus on the core Google Cloud services required to implement DevOps, starting with Chapter 5, Managing Source Code using Cloud Source Repositories.

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Authors (1)

Madamanchi

Madamanchi

Sandeep Madamanchi works at a company called Variant that re-engineers trucking through technology, acting as the Head of Cloud Infrastructure and Data Engineering. He is a continuous learner, focused on building highly resilient, secure, and self-healing cloud infrastructure. He advocates SRE and its practices to achieve reliability and operational stability. His vision is to provide infrastructure as a service to core engineering, analytics, and ML specialized teams through DevOps, DataOps, and MLOps practices. Prior to Variant, he was Director of R&D at Manhattan Associates; a leader in supply chain software and worked there for over 14 years. He holds certifications across AWS and GCP; which includes the Professional Cloud DevOps Engineer Certification.

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