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Kakashi Performance Results - 56K+ logs/sec, 1.17x Concurrency Scaling | Benchmark Analysis

Below are the latest production-ready performance results from the Kakashi performance validation suite, demonstrating the library's superior performance characteristics.

🏆 Performance Summary

  • Throughput: 56,310+ logs/sec (3.1x faster than standard library)
  • Concurrency Scaling: 1.17x (adding threads improves performance)
  • Async Performance: 169,074 logs/sec (9.3x faster than standard library)
  • Memory Efficiency: <0.02MB memory usage for async operations

📊 Benchmark Results

Throughput Performance

TestTotal LogsExecution TimeThroughputPerformance
Kakashi Basic100,0001.78s56,310 logs/sec3.1x faster
Kakashi Concurrent100,0001.51s66,116 logs/sec3.6x faster
Kakashi Async100,0000.59s169,074 logs/sec9.3x faster
Standard Library100,0005.51s18,159 logs/secBaseline

Concurrency Scaling Analysis

ThreadsKakashi (logs/sec)Stdlib (logs/sec)Scaling Factor
156,31018,1593.1x
1666,11610,7346.2x
Scaling1.17x0.59xKakashi wins

Memory Usage

TestMemory Usage (Δ MB)Peak Memory (MB)Efficiency
Kakashi Basic<0.02<0.05Excellent
Kakashi Async<0.02<0.05Excellent
Kakashi Concurrent<0.02<0.05Excellent

🎯 Key Performance Insights

  • Superior Concurrency: Kakashi's 1.17x scaling means adding threads improves performance
  • Async Excellence: 169K logs/sec demonstrates true asynchronous processing
  • Memory Efficiency: Consistent <0.02MB memory usage across all scenarios
  • Production Ready: All metrics exceed production performance targets

⚠️ IMPORTANT: These performance results are provided for informational purposes only. Performance may vary based on system configuration, workload, and other factors. These results are not guarantees of performance and should not be used for commercial claims without independent verification.

📋 Test Environment

  • Platform: Linux (WSL2)
  • Python: 3.13.5
  • Hardware: Development system
  • Test Suite: performance_tests/validate_performance.py

Note: Results were captured on a development system and may not reflect production performance. Always test in your specific environment.


Last updated: 2025-08-27 Contributors: [IntegerAlex]