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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems

By : Gilbert
4 (11)
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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems

4 (11)
By: Gilbert

Overview of this book

As businesses are undergoing a digital transformation to keep up with competition, it is now more important than ever for IT professionals to design systems to keep up with the rate of change while maintaining stability. This book takes you through the architectural patterns that power enterprise-grade software systems and the key architectural elements that enable change (such as events, autonomous services, and micro frontends), along with showing you how to implement and operate anti-fragile systems. First, you’ll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You’ll cover low-level event and data patterns that support the entire architecture, while getting up and running with the different autonomous service design patterns. Next, the book will focus on best practices for security, reliability, testability, observability, and performance. You’ll combine all that you've learned and build upon that foundation, exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress. By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change so that you can deliver value at the pace needed by your business.
Table of Contents (17 chapters)
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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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