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

Cloud Debugger

Cloud Debugger allows us to inspect the state of a running application in real time. Cloud Debugger doesn't require the application to be stopped during this process and doesn't slow it down, either. Users can capture the call stack and variables at any location in the source code. This essentially allows the user to analyze the application state, especially in complex situations, without adding any additional log statements.

In addition, Cloud Debugger can be used for production environments and is not limited to development or test environments. When Cloud Debugger captures the application state, it adds request latency that is less than 10 ms, which, practically, is not noticeable by users.

Cloud Debugger is supported on applications running in GCP such as App Engine, Compute Engineer, GKE, Cloud Run, and so on, as well as those written in a number of languages, including Java, Python, Go, Node.js, Ruby, PHP, and .NET. Cloud Debugger needs access to...