You're reading from The Definitive Guide to Modernizing Applications on Google Cloud The what, why, and how of application modernization on Google Cloud

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781800209794

Length 488 pages

Edition 1st Edition

Languages

SQL

Tools

Firebase

Concepts

Cloud Computing

Authors (3):

Jason Marston

Dheeraj Panyam

Steve (Satish) Sangapu

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Table of Contents (26) Chapters

Preface

1. Section 1: Cloud-Native Application Development and App Modernization in Google Cloud

2. Chapter 1: Cloud-Native Application Fundamentals FREE CHAPTER

3. Chapter 2: End-to-End Extensible Tooling for Cloud-Native Application Development

4. Chapter 3: Cloud-Native Architecture Patterns and System Architecture Tenets

5. Section 2: Selecting the Right Google Cloud Services

6. Chapter 4: Choosing the Right Compute Option

7. Chapter 5: Choosing the Right Database and Storage

8. Chapter 6: Implementing a Messaging and Scheduling System

9. Chapter 7: Implementing Cloud-Native Security

10. Section 3: Rehosting and Replatforming the Application

11. Chapter 8: Introducing the Legacy Application

12. Chapter 9: The Initial Architecture on Google Compute Engine

13. Chapter 10: Addressing Scalability and Availability

14. Chapter 11: Re-Platforming the Data Layer

15. Chapter 12: Designing the Interim Architecture

16. Chapter 13: Refactoring to Microservices

17. Section 4: Refactoring the Application on Cloud-Native/PaaS and Serverless in Google Cloud

18. Chapter 14: Refactoring the Frontend and Exposing REST Services

19. Chapter 15: Handling Eventual Consistency with the Compensation Pattern

20. Chapter 16: Orchestrating Your Application with Google Kubernetes Engine

21. Chapter 17: Going Serverless with Google App Engine

22. Chapter 18: Future Proofing Your App with Google Cloud Run

23. Other Books You May Enjoy

Appendix A: Choosing the Right Migration Strategy

1. Appendix B: Application Modernization Solutions

Additional storage and database options

The Google Cloud ecosystem is huge, and it's not possible to cover every service in a single chapter. The five services that we've already covered make the biggest part of Google Cloud's storage and database services and are, in many ways, the pillars. However, there are some additional services that you'll find useful as your journey in cloud application development continues. Here are four such services.

BigQuery

Cloud BigQuery is a SQL relational database that is also used as a big data analytics platform. It's under the Big Data section of Cloud Console instead of the Storage section because its main purpose is to query extremely large datasets extremely quickly—terabytes of data within minutes.

The reason we didn't include BigQuery in our main list of database options was that most small businesses and developers who are just starting out won't be working with datasets that are measured...

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You're reading from The Definitive Guide to Modernizing Applications on Google Cloud The what, why, and how of application modernization on Google Cloud

Table of Contents (26) Chapters

Additional storage and database options

BigQuery

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Authors (3)

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