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Architecting Google Cloud Solutions

You're reading from Architecting Google Cloud Solutions Learn to design robust and future-proof solutions with Google Cloud technologies

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800563308

Length 472 pages

Edition 1st Edition

Tools

Google App Engine

Concepts

Cloud Computing

Author (1):

Victor Dantas

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Introduction to Google Cloud

2. Chapter 1: An Introduction to Google Cloud for Architects FREE CHAPTER

3. Chapter 2: Mastering the Basics of Google Cloud

4. Section 2: Designing Great Solutions in Google Cloud

5. Chapter 3: Designing the Network

6. Chapter 4: Architecting Compute Infrastructure

7. Chapter 5: Architecting Storage and Data Infrastructure

8. Chapter 6: Configuring Services for Observability

9. Chapter 7: Designing for Security and Compliance

10. Section 3: Designing for the Modern Enterprise

11. Chapter 8: Approaching Big Data and Data Pipelines

12. Chapter 9: Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE)

13. Chapter 10: Re-Architecting with Microservices

14. Chapter 11: Applying Machine Learning and Artificial Intelligence

15. Chapter 12: Achieving Operational Excellence

16. Other Books You May Enjoy

Technical requirements

For the hands-on activities in this chapter, you will need a billing-enabled Google Cloud account and optionally the Google Cloud SDK installed (if you don't have it, you can use Cloud Shell from a browser). Helper scripts and code for this chapter can be found at https://github.com/PacktPublishing/Architecting-Google-Cloud-Solutions/tree/master/ch9. For this chapter, you will also need a personal GitHub account.

Check out the following link to see the Code in Action video: https://bit.ly/3kN7aqj

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Authors (1)

Dantas

Dantas

Victor Dantas has a PhD in software-defined networking and cloud systems and is a solutions architect currently working at AWS. He has professional cloud certifications from Google Cloud, Azure, and AWS. With a background ranging from software development and systems engineering to technology consulting, he has accumulated experience in software engineering, cloud migrations, hybrid cloud infrastructure, cloud solutions architecture, and Agile/DevOps practices working with organizations of all sizes. Victor also writes practical guides and labs on cloud computing for Pluralsight. Beyond the cloud, his interests include big data, AI / Machine Learning, and the Internet-of-Things (IoT).

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