dotnet-performance

Benchmark .NET code performance accurately using BenchmarkDotNet to measure execution time and memory allocation across different runtime configurations. It handles warmup iterations, statistical analysis, and baseline comparisons to provide reliable, reproducible performance metrics for your optimization efforts.

Native AOT compilation improves .NET application performance by compiling code directly to native machine code ahead of time. This eliminates JIT compilation overhead at startup, reduces memory footprint, and enables trimming to produce smaller, faster self-contained executables for high throughput scenarios.

Yes, you can use Span<T> and ArrayPool<T> for zero-allocation coding in .NET to achieve high throughput and low latency. Span provides type-safe memory access over contiguous regions, while ArrayPool rents and returns shared arrays to avoid frequent heap allocations.

High memory usage and slow response times in .NET web APIs often stem from excessive heap allocations and lack of profiling. Use dotnet-trace to identify allocation hotspots, apply zero-allocation patterns with Span<T>, and measure improvements with BenchmarkDotNet to resolve these bottlenecks.