Explore the performance characteristics of functional programming in Clojure, including immutability overhead, benchmarking, and garbage collection effects.
Learn how to profile Clojure applications using tools like VisualVM, YourKit Java Profiler, and clj-async-profiler. Discover techniques for identifying performance hotspots, analyzing CPU and memory usage, and implementing continuous profiling for scalable applications.
Explore techniques to optimize recursive functions in Clojure, including tail recursion, memoization, and iterative alternatives, to enhance performance and prevent stack overflow errors.
Explore efficient data processing strategies in Clojure, including batch processing, streaming, lazy evaluation, and parallel processing, to optimize performance in functional programming.
Explore how to enhance Clojure application performance by leveraging compiler optimizations and type hints, reducing reflection, inlining functions, and using compiler options.
Explore the performance considerations of using lazy sequences in Clojure, including realization overhead, chunked sequences, and the use of transducers for efficient data processing.
Explore how transients in Clojure can enhance performance by allowing mutable operations on persistent data structures, ideal for performance-critical code.