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

Designing for offline-first

Today's users are on the move, and they increasingly rely on mobile devices. You are likely reading this on a mobile device. If so, you likely downloaded the content to your device, so you can read it when you are offline. For static content, this is straightforward, and you knew up front that you wanted offline access.For applications with dynamic content, the process of making the content available offline is more involved. Plus, it is more difficult to predict when connectivity will be unavailable. It is helpful to think of this problem in terms of the CAP theorem, which shows us that in the case of a system partition we have to choose between consistency and availability. We cannot have both.Loss of connectivity is a perfect example of a system partition because the application can no longer retrieve and update the dynamic content. In this case, users favor availability over consistency. They want the application to continue working and for it to sort...