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 Trace

A trace is a collection of spans. A span is an object that wraps latency-specific metrics and other contextual information around a unit of work in an application. Cloud Trace is a distributed tracing system that captures latency data from an application, tracks the request's propagation, retrieves real-time performance insights, and displays the results in Google Cloud Console. This latency information can be either for a single request or can be aggregated for the entire application. This information helps us identify performance bottlenecks.

Additionally, Cloud Trace can automatically analyze application traces that might reflect recent changes to the application's performance, identify degradations from latency reports, capture traces from containers, and create alerts as needed.

Cloud Trace's language-specific SDKs are available for Java, Node.js, Ruby, and Go. These SDKs can analyze projects running on VMs. It is not necessary for these VMs to...