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Software Architecture Patterns for Serverless Systems

You're reading from   Software Architecture Patterns for Serverless Systems Architecting for innovation with events, autonomous services, and micro frontends

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800207035
Length 436 pages
Edition 1st Edition
Concepts
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Author (1):
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John Gilbert John Gilbert
Author Profile Icon John Gilbert
John Gilbert
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Toc

Table of Contents (17) Chapters Close

1. B15957_FM_Final_ASB_ePub
2. B15957_TOC_Final_ASB_ePub FREE CHAPTER
3. B15957_Preface_Final_ASB_ePub
4. B15957_Section 1_Final_ASB_ePub
5. B15957_01_Final_ASB_ePub
6. B15957_02_Final_ASB_ePub
7. B15957_Section 2_Final_ASB_ePub
8. B15957_03_Final_ASB_ePub
9. B15957_04_Final_ASB_ePub
10. B15957_05_Final_ASB_ePub
11. B15957_06_Final_ASB_ePub
12. B15957_07_Final_ASB_ePub
13. B15957_08_Final_ASB_ePub
14. B15957_Section 3_Final_ASB_ePub
15. B15957_09_Final_ASB_ePub
16. B15957_10_Final_ASB_ePub
17. B15957_BackMatter_Final_ASB_ePub

Chapter 5: Turning the Cloud into the Database

In Chapter 4, Trusting Facts and Eventual Consistency, we covered the event hub and event sourcing patterns and learned how they create an outbound bulkhead that protects upstream services from downstream outages. Now we turn our attention to data architecture and how to reshape it to create inbound bulkheads that protect downstream services from upstream outages. Together, these bulkheads fortify the boundaries of autonomous services and give teams the confidence to forge ahead with changes, knowing that the boundaries will help control the blast radius when things go wrong.

In this chapter, we're going to cover the following main topics:

  • Escaping data's gravity
  • Embracing the data life cycle
  • Turning the database inside out
  • Dissecting the CQRS pattern
  • Keeping data lean
  • Implementing idempotence and order tolerance
  • Modeling data for operational performance
  • Leveraging change data capture...
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