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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

Google Kubernetes Engine (GKE) – introduction

GKE is managed K8s and abstracts away the need to manage the master plane components from a user's standpoint. Creating a GKE cluster is much easier than creating a K8s cluster. This is because GKE cluster creation removes the need to manually create nodes, configure nodes and certificates, and establish network communication between the nodes. GKE also offers options to autoscale and manage auto-upgrades of the cluster's node software.

The following are the key features of a GKE cluster. These features differentiate GKE from open source Kubernetes or K8s:

  • Fully managed and abstracts away the need for a user to provide underlying resources.
  • Uses a container-optimized OS, an OS that is maintained by Google and is built to scale quickly with minimal resource requirements.
  • Supports auto-upgrade and provides options to either get the latest available features or a more stable version without manual intervention...
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