Skip to content

[Task] docs: Create performance optimization cookbook #462

Description

@kcenon

Summary

Create a cookbook-style guide for performance optimization covering SIMD aggregation, lock-free queues, memory pools, hot path helpers, and thread-local buffering.

Parent Issue

Part of: [EPIC] docs: Address documentation gaps across all ecosystem systems (kcenon/common_system#325)

Background (Why)

monitoring_system includes several optimization components that are undocumented:

  • SIMD aggregator for vectorized metric computation
  • Lock-free queue for high-throughput event passing
  • Memory pool for reduced allocation overhead
  • Hot path helper for critical path optimization
  • Thread-local buffer for per-thread metric accumulation

While docs/performance/PERFORMANCE_TUNING.md exists, it doesn't cover these internal optimization mechanisms.

Source files:

  • include/kcenon/monitoring/optimization/simd_aggregator.h — SIMD vectorized aggregation
  • include/kcenon/monitoring/optimization/lockfree_queue.h — Lock-free event queue
  • include/kcenon/monitoring/optimization/memory_pool.h — Pool-based allocation
  • include/kcenon/monitoring/utils/hot_path_helper.h — Hot path optimization
  • include/kcenon/monitoring/core/thread_local_buffer.h — Thread-local metric buffering

Scope (What)

Create docs/guides/PERFORMANCE_COOKBOOK.md covering:

1. SIMD Aggregator

  • Supported SIMD instruction sets (AVX2, NEON)
  • When SIMD aggregation is beneficial
  • Configuration and fallback behavior

2. Lock-Free Queue

  • Queue design and guarantees
  • Producer-consumer patterns
  • Sizing and memory considerations
  • Comparison with mutex-based alternatives

3. Memory Pool

  • Pool sizing strategies
  • Pre-allocation patterns
  • Memory fragmentation avoidance

4. Hot Path Optimization

  • What constitutes a hot path in monitoring
  • Branch prediction hints
  • Cache-friendly data layouts

5. Thread-Local Buffering

  • Per-thread metric accumulation
  • Buffer flush strategies
  • Reducing contention

6. Tuning Recipes

  • Recipe: Maximum throughput (>1M metrics/sec)
  • Recipe: Minimum latency (<100ns per metric)
  • Recipe: Minimum memory (<10MB footprint)
  • Recipe: Balanced production configuration

Acceptance Criteria

  • All 5 optimization components documented
  • SIMD usage patterns explained
  • Lock-free queue tuning guide
  • At least 4 tuning recipes
  • Before/after performance comparisons

Metadata

Metadata

Assignees

Labels

documentationImprovements or additions to documentationpriority/lowLow priority - Nice to havetype/perfPerformance improvements

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions