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Software Architecture Patterns for Serverless Systems

Software Architecture Patterns for Serverless Systems - Second Edition

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

Software Architecture Patterns for Serverless Systems

5 (15)
By: 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

Tackling common data challenges

Let’s look at some common considerations that are applicable across many of the ESG scenarios we covered throughout this chapter, such as idempotence, data enrichment, latching, and resynchronizing slow data.

Idempotence

Idempotence is an important piece of the event-first approach. We covered different approaches in Chapter 4, Trusting Facts and Eventual Consistency, and Chapter 5, Turning the Cloud into the Database. The external systems that ESGs integrate with may or may not support idempotence. For example, a third-party SaaS product most likely will support it, but a legacy system probably will not. The legacy system’s API will dictate which approach we can use, such as using Direct SQL to implement an inverse OpLock.

If the external system does not provide idempotence, then we can implement it in the ESG with a micro event store. Figure 7.21 depicts the resources involved:

Figure 7.21: Egress – idempotence...

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