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

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...