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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

Section 2: Designing Great Solutions in Google Cloud

In this section, you will learn how to architect and design infrastructure solutions in Google Cloud and choose the right services for your needs. Covering networking, computing, storage, monitoring, security, and compliance, you will learn architectural principles and best practices as well as how to apply them on GCP.

The following chapters will be covered in this section:

Chapter 3, Designing the Network
Chapter 4, Architecting Compute Infrastructure
Chapter 5, Architecting Storage and Data Infrastructure
Chapter 6, Configuring Services for Observability
Chapter 7, Designing for Security and Compliance

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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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