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)
14
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15
Index

Replicating across regions

In Chapter 5, Turning the Cloud into the Database, we covered the details of how an autonomous service leverages cloud native datastores to create an inbound bulkhead to protect it from disruptions in upstream services. In this section, we cover how regional data replication works at the change event level to protect autonomous services from regional disruptions. Specifically, we investigate multi-master and round-robin replication. But first, we need to address the advantage of change-event versus domain-event replication.

Change event vs domain event replication

Change events are emitted by a datastore's CDC stream as an autonomous service performs its fine-grained inserts, updates and deletes. Domain events are emitted by an autonomous service to communicate to the system that an important course-grained state change has occurred. Autonomous services may publish change event to the bus to create a complete audit trail in the event lake, but they primarily...