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

Focusing on risk mitigation

No process is perfect. We cannot eliminate honest human error. We can double down on our automated testing—even triple down, and more. But sooner or later, a mistake will happen, because to err is human.

The solution is not to slow down, but instead to go faster and mitigate the risk. We need to force ourselves to control the batch size, by decoupling deployments from releases, with the help of feature flags. And when things still go wrong—and they will—then we must be prepared to fail forward fast, while we rely on our autonomous services to limit the blast radius.

Small batch size

One of the most effective ways to mitigate risk is to control the batch size of the work units we produce. Agile methods help us mitigate the risk of building the wrong solution by delivering features more frequently. A smaller batch size allows us to elicit feedback from end users more quickly so that we can make course corrections and eliminate...