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 Profiler

Cloud Profiler provides low-impact continuous profiling to help users understand the performance of a production system. It provides insights into information such as CPU usage, memory consumption, and so on. Cloud Profiler allows developers to analyze applications running either in Google Cloud, other cloud providers, or on-premises.

Cloud Profiler uses statistical techniques and extremely low-impact instrumentation to provide a complete picture of an application's performance, without slowing it down. Cloud Profiler runs across all production application instances, presents a call hierarchy, and explains the resource consumption of the relevant function in an interactive flame graph. This information is critical for developers to understand which paths consume the most resources and illustrates the different ways in which the code is actually called. The supported programming languages include Java, Go, Node.js, and Python.

Cloud Profiler supports the following...