Building Reactive Systems

Reactive systems are built around events and flow, not around “who owns the thread.” You push values through a pipeline and treat coordination as explicit, testable structure.

This section focuses on how to keep reactive code readable: use small pure transforms, keep state changes isolated, and make boundaries (I/O, time, retries) obvious.

If you come from Java reactive libraries, the mental model is similar—but the payoff in Clojure is often bigger because your business logic can stay as plain functions over data.

In this section

• Reactive Programming Principles: Building Responsive, Resilient, and Scalable Systems
  Explore the core principles of reactive programming, including responsiveness, resilience, scalability, and event-driven architecture. Learn how Clojure's core.async supports these principles for handling asynchronous data streams.
• Creating Data Pipelines with core.async: A Guide for Java Developers
  Learn how to build efficient data pipelines using Clojure's core.async library, leveraging channels and go blocks for asynchronous data processing.
• Managing State in Reactive Systems with Clojure
  Explore strategies for managing state in reactive systems using Clojure's immutable data structures and concurrency primitives. Learn how to use atoms, refs, and agents with core.async to maintain consistent state across asynchronous tasks.