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

Optimizing Observability

In Chapter 11, Choreographing Deployment and Delivery, we laid out a lightweight development process that helps us decouple deployment from release and turn the crank with a task branch workflow. In addition, we defined an approach for continuous testing that allows us to discover the requirements and continuously deliver business value.

Throughout this book, we have focused on creating bulkheads within our systems to control the blast radius when things go wrong. Now we pick up where we left off in our continuous deployment process. We need to monitor the behavior of the system in production so that teams know when something is wrong and provide them with the information they need to fail forward fast.

In this chapter, we’re going to cover the following main topics:

  • Failing forward fast
  • Turning observability inside out
  • Leveraging FinOps
  • Collecting resource metrics
  • Tracking system events
  • Alerting on work...