Message- and Event-Driven Systems with CQRS and Event Sourcing (häftad, eng)

Learn How to Design and Build Scalable Systems Using Message-Driven Architecture, CQRS, and Event Sourcing

In today's fast-paced digital landscape, businesses must adapt rapidly to evolving demands. Message- and Event-Driven Systems with CQRS and Event Sourcing reveals how modern message-driven web and cloud architectures can fuel digital transformation, drive agility, and ensure robust scalability.

This book bridges the gap between theory and practice, empowering architects and developers to build systems that thrive in the cloud era.

Author Alex Lawrence demystifies a collection of widely discussed architectural patterns, clearly distinguishing between message-driven, event-driven, CQRS, and Event Sourcing approaches, and showing precisely when to apply each.

By untangling concepts that are often confused, he provides both a strategic overview and practical guidance for designing each system component.

Unlike most resources that focus on Java or C#, this book leverages Node.js, JavaScript, and TypeScript, making it uniquely relevant for today's web and cloud developers.

Readers will discover how to isolate business capabilities, accelerate time-to-market, and future-proof their technology stack, enabling continuous evolution without sacrificing stability or performance.

• Implement the core anatomy of message-driven systems by mapping specific technical responsibilities to components and navigating the trade-offs of various implementation approaches
• Segregate responsibilities with CQRS to separate command and query logic, enabling optimization of read and write sides independently for better performance and scalability
• Leverage Event Sourcing to model domain state as a sequence of immutable events, providing a reliable historical record and a foundation for highly reactive systems
• Orchestrate long-running processes by designing resilient workflows that manage complex, multi-step business logic across asynchronous boundaries using domain-specific components
• Design for evolution and composition by applying tactical patterns for domain modeling, managing message schema changes, and unifying data from disparate sources into reactive user interfaces

Build the architectural knowledge that distinguishes scalable systems and start architecting for inevitable change with patterns that matter.