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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

Further reading

For more information on GCP's Cloud Source Repositories, refer to the following:

Cloud Source Repositories: https://cloud.google.com/source-repositories

The rest of the chapter is locked

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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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