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

Chapter 11: Re-Platforming the Data Layer

At this point, we have a fully working solution that addresses scalability and availability in the application layer by using a Regional Managed Instance Group and an HTTP(S) Load Balancer. In this chapter, we will be looking at the data layer in our application and seeing how we can improve our architecture to address scalability and availability while reducing the administrative overhead of managing virtual machines. The two areas in the data layer we will cover are session handling and persistent relational data. We will do this by examining the services provided by Google Cloud in this area: Cloud Memorystore for handling sessions, then Cloud SQL (with Cloud SQL Proxy), and Cloud Spanner for relational data. Finally, we will take a brief look at importing data into our relational systems.

In this chapter, we will cover the following:

Designing for scalability and availability
Using Cloud Memorystore
Using Cloud SQL

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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

Chapter 11: Re-Platforming the Data Layer

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Authors (3)

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