Memory Management and Garbage Collection

If your service gets slower over time, GC pressure is often the real problem. In Clojure, allocation can show up in places that feel “free” at first: intermediate sequences, persistent collection churn, or accidentally retaining the head of a lazy sequence.

This section helps you reason about allocation and retention in idiomatic Clojure, and connect those patterns to the JVM signals you already know (GC pauses, allocation rate, heap growth).

You will also learn a practical ordering: fix the biggest sources of churn in code first, then consider JVM tuning only when the data shows it’s necessary.

In this section

• Understanding Garbage Collection in JVM for Clojure Developers
  Explore the intricacies of garbage collection in the JVM, its impact on performance, and how it relates to Clojure development.
• Minimizing Memory Allocation: Strategies for Efficient Clojure Programming
  Explore strategies for reducing memory allocation in Clojure, including data structure reuse, avoiding unnecessary object creation, and leveraging primitives.
• Optimizing JVM Garbage Collection for Clojure Applications
  Learn how to tune JVM garbage collection settings to enhance performance in Clojure applications, including heap size adjustments and GC algorithm selection.