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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

Understanding the need for automation

Once code is checked into a source code repository, the next step in a CI process is to build code and create artifacts as per the requirements to run the application. Once the artifacts are created, the artifacts are further stored in a repository and are later used by the Continuous Deployment/Delivery (CD) process to run the application. Given that the running theme in this book is to work with containers, Docker forms a key role as the OS-level virtualization platform to deploy applications in containers.

Following is an illustration of the Docker life cycle that highlights the multiple steps involved in creating container images to actually deploy containers that run the actual application:

  1. The developer hosts code in a source code repository. The code can be changed during the development or enhancement process.
  2. The source code repository can be set up to have trigger points, such as raising a pull request or merging code into...
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