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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems - Second Edition

By : John Gilbert
5 (15)
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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems

5 (15)
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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14
Other Books You May Enjoy
15
Index

Summary

In this chapter, you learned about many of the recent innovations in the presentation tier, such as SPAs, Jamstack, and deploying at the edge of the cloud. We learned how to decompose the presentation tier using the micro frontends approach to create autonomous micro applications that allow us to tame the presentation tier and easily extend the system by adding new applications instead of modifying existing applications. We also dug into the details and learned advanced state management techniques that allow us to create PWAs that work offline and smoothly support regional failover.

In the next chapter, we will cover eventually consistent systems and see how turning events into facts promotes autonomy and resilience. We will create an event hub, dissect the Event Sourcing pattern, and learn how to implement stream processors.

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