Identifying Performance Bottlenecks

Most performance problems you see in Clojure have the same root causes you already know from Java: too much work, too much allocation, too much waiting on I/O, or too much contention.

This section helps you avoid “cargo-cult optimization.” Instead of guessing, you’ll set a goal, reproduce the workload, and narrow the bottleneck to something you can actually change.

Along the way, you’ll learn a few Clojure-specific places where performance can surprise Java engineers (reflection, boxing, lazy sequence retention) and how to spot those issues early.

In this section

• Profiling in Clojure: Identifying Performance Bottlenecks
  Learn the importance of profiling in Clojure applications, how to identify performance bottlenecks, and the methodologies to optimize your code effectively.
• Common Sources of Bottlenecks in Clojure Applications
  Explore common performance bottlenecks in Clojure applications, including memory allocations, I/O latency, and inefficient algorithms, with comparisons to Java.
• Setting Performance Goals for Clojure Applications
  Learn how to set realistic performance goals for Clojure applications, leveraging your Java experience to optimize functional programming performance.