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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Modeling data for operational performance

So far, we have focused on breaking up the monolith and materializing data downstream. Now, we will zero in on modeling data to support the access patterns needed during the operational phases of the data life cycle. This is where various actors (that is, users) create and use data via BFF services. These early phases of the data life cycle need particular attention because they have seen significant changes and improvements.

First, we will look at an approach to logical data modeling that is not coupled to the polyglot persistence choices we make at the individual service level. Then we will look at horizontal scalability and sharding so that we can understand the implications that this physical model has on our operational data modeling. Then, we will go through several examples of applying the single table design technique to the services in our hypothetical food delivery system.

Nodes, edges, and aggregates

For our operational...