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

GKE – core features

This section covers the following topics. These topics will provide a considerable amount of information, which is required to build a good understanding and working knowledge of GKE. Most of these GKE concepts are an extension of topics learned about in the Kubernetes section. The topics that will be covered are as follows:

GKE node pools
GKE cluster types
Autoscaling in GKE
Networking in GKE
Cloud operations for GKE

The first of the GKE constructs that will be detailed in the upcoming sub-section is GKE node pools.

GKE node pools

Nodes (that is, worker nodes) in a Kubernetes cluster deploy workloads. The nature of workloads deployed across all nodes might not be the same. Some workloads might be CPU-intensive, others might be memory-intensive, and some might need a minimum version of the CPU platform. Workloads can also be fault-tolerant batch jobs or might need a specific type of storage such as SSD.

A node pool...