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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems

By : Gilbert
4 (11)
close
Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems

4 (11)
By: Gilbert

Overview of this book

As businesses are undergoing a digital transformation to keep up with competition, it is now more important than ever for IT professionals to design systems to keep up with the rate of change while maintaining stability. This book takes you through the architectural patterns that power enterprise-grade software systems and the key architectural elements that enable change (such as events, autonomous services, and micro frontends), along with showing you how to implement and operate 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 low-level event and data patterns that support the entire architecture, while getting up and running with the different autonomous service design patterns. Next, the book will focus on best practices for security, reliability, testability, observability, and performance. You’ll combine all that you've learned and build upon that foundation, 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 so that you can deliver value at the pace needed by your business.
Table of Contents (17 chapters)
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Chapter 9: Choreographing Deployment and Delivery

In Chapter 8, Reacting to Events with More Events, we covered the last of the three high-level autonomous service patterns. Autonomous services have fortified boundaries and own all the resources they need to continue operating when related services are down. This resilience gives teams the confidence to drive down lead times and forge ahead with changes, knowing that these boundaries will help control the blast radius when things go wrong.

We now turn our attention to the methodology of continuously building, testing, deploying, and delivering functionality to the end users. In this chapter, we focus on the best practices for keeping things from going wrong in the first place. You will learn how to choreograph the continuous deployment and delivery of services and applications with zero downtime and the confidence that all the necessary checks and balances are in place.

In this chapter, we're going to cover the following...

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