rust-performance

Profile Rust performance using perf and flamegraph tooling to measure CPU behavior and locate hot code paths. This identifies hot code paths to guide targeted optimizations for latency-sensitive services.

Benchmarking Rust code with criterion provides statistically sound micro-benchmarks. Criterion measures performance variations reliably, ensuring your hot-path optimizations are based on accurate runtime data rather than noise.

Reduce memory allocations by analyzing heap usage with heaptrack, dhat, and jemalloc stats. These tools identify excessive allocations and fragmentation, guiding targeted memory footprint reduction in long-lived Rust projects.

Diagnose slow Rust builds in large workspaces by inspecting compilation performance with cargo timings. This tool breaks down build times to identify bottlenecks and guide optimizations for faster cargo builds.

Measuring Rust build-time and runtime performance requires the Rust toolchain alongside criterion, perf, flamegraph tooling, and cargo-timings. These dependencies gather CPU, memory, and compilation measurements to generate meaningful reports.

Flamegraph and perf are used to optimize hot paths in Rust services by visualizing CPU usage. They generate reports that reveal exactly where execution time accumulates, enabling targeted end-to-end performance optimization.