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

Observing real user activity

Up to this point, we have focused on the observability of our serverless backends. However, a significant portion of today’s application logic executes on the frontend within a user’s browser on their own devices. Leveraging the processing power of the user’s device allows us to spread out the load and dramatically improve the scalability of a system. However, it also makes it more difficult to monitor the behavior of the system, since we must capture information from many devices. To address this problem, we need Real User Monitoring (RUM) and synthetic transactions.

Real User Monitoring (RUM)

RUM encompasses the set of tools we use to observe the performance of the frontend application logic. This includes sampling page load performance metrics, capturing errors and console logs, and sending this information to the central monitoring system. Then we correlate the frontend metrics with the backend metrics to create a full...