arcanea-performance-tuning

What problem does it solve?

Performance tuning helps you identify bottlenecks, measure baseline metrics, and apply targeted optimizations to meet concrete targets while guarding against regressions.

Core Features & Use Cases

• Profiling types: CPU, memory, I/O, and tracing.
• The Profiling Cycle: baseline, target, profile, hypothesize, optimize, measure, repeat.
• The Optimization Hierarchy: optimize algorithms first, then data structures, then I/O, memory, and CPU.
• Common patterns: avoid the N+1 query problem; benchmark to prevent regressions.

Quick Start

Profile your service to capture a baseline latency, set a target (for example, P95 latency < 200ms), apply a single focused optimization, and re-measure to confirm improvement.