Networking and I/O Patterns

Networking and I/O are where abstract language elegance collides with actual operating systems, buffers, protocols, files, sockets, and partial failure. This chapter looks at those constraints directly instead of treating I/O as a thin implementation detail below “real” application logic.

In Clojure, I/O design often hinges on choosing the right coordination model: blocking versus non-blocking, streams versus messages, byte-oriented versus value-oriented processing, and explicit backpressure versus accidental queue growth. Those choices matter more than any one library name.

Use this chapter to think about data movement as a systems problem. The better the I/O boundaries are designed, the easier the surrounding application becomes to test, scale, and reason about.

In this section

• Asynchronous I/O with core.async
  Correct patterns for using core.async to coordinate asynchronous I/O without blocking go blocks.
• Network Programming Basics in Clojure
  Explore the fundamentals of network programming in Clojure, including TCP/IP, sockets, protocols, and data transmission. Learn how to create clients and servers using Java interop and Clojure libraries, with a focus on concurrency and error handling.
• Servers and Clients with Aleph and http-kit
  How to choose between Aleph and http-kit for Clojure HTTP work, with current dependency examples and realistic async server and client patterns.
• Protocol Design and Implementation in Clojure
  Explore the principles of protocol design and implementation in Clojure, including serialization formats, TCP/UDP protocols, and testing considerations.
• Mastering Patterns for Handling I/O Errors in Clojure
  Explore comprehensive strategies for handling I/O errors in Clojure, including detection, retries, timeouts, and logging, to build robust applications.
• High-Performance Networking
  How to build high-performance networking systems in Clojure with non-blocking I/O, careful backpressure design, and realistic JVM-level performance trade-offs.
• Reactive Networking Applications: Harnessing Clojure for Scalable and Responsive Systems
  Explore reactive programming paradigms for networking applications in Clojure, focusing on responsiveness, scalability, and frameworks like Manifold.
• WebSockets and Real-Time Communication
  How to choose WebSockets versus SSE or polling in Clojure systems, with current Sente guidance and operational trade-offs.
• Mastering File System Operations and Patterns in Clojure
  Explore comprehensive file system operations in Clojure, including reading, writing, and monitoring files, with a focus on Java interop, error handling, and cross-platform compatibility.
• Handling Binary Data and Serialization in Clojure
  Explore techniques for working with binary data and serialization formats in Clojure, including ByteBuffers, input/output streams, and serialization libraries like Nippy and Fressian.
• Network Security and TLS
  How to secure Clojure network traffic with TLS, certificate validation, and safer client and server defaults.
• Reactor Pattern with Manifold: Implementing Reactive Data Streams in Clojure
  Explore the Reactor Pattern with Manifold in Clojure, focusing on reactive data streams, asynchronous event handling, and integration with Aleph for network applications.
• Non-Blocking I/O Patterns: Enhancing Scalability and Resource Utilization in Clojure
  Explore non-blocking I/O patterns in Clojure, focusing on scalability and resource utilization with async libraries like core.async and Netty.
• Streaming Data with Byte Streams: Efficient Data Processing in Clojure
  Explore the intricacies of streaming data using byte streams in Clojure, focusing on efficient continuous input/output operations, data transformation, and resource management.
• RESTful Services with Pedestal
  How to build HTTP services with Pedestal using routes, interceptors, and current Clojure CLI project setup instead of legacy scaffolding.