Book Image

Software Architecture Patterns for Serverless Systems - Second Edition

By : John Gilbert
Book Image

Software Architecture Patterns for Serverless Systems - Second Edition

By: John Gilbert

Overview of this book

Organizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you’ll be perfectly equipped to architect the future for unparalleled innovation. This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement 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 the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns. This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be 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.
Table of Contents (16 chapters)
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In this chapter, you learned why data gravity impedes innovation and how to decompose monolithic databases throughout the phases of the data life cycle. You learned how the CQRS pattern turns the database inside out and ultimately turns the cloud into the database by creating a system-wide transaction log and moving derived data downstream to where it is used. You also learned how to increase team confidence by using materialized views to create inbound bulkheads.

We dug into the details and you learned how to create stream processors that are idempotent and order tolerant, and you saw how to keep data lean. You also learned about using the Single Table Design modeling technique to optimize data for performance and how to create stream processors that leverage change data capture to implement the database-first variant of the event sourcing pattern.

In the next chapter, we will cover the BFF pattern and see how it unencumbers teams by removing competing demands so...