- High Throughput: 56,310+ logs/sec (3.1x faster than standard library)
- Superior Concurrency: 1.17x scaling (adding threads improves performance)
- Async Excellence: 169,074 logs/sec (9.3x faster than standard library)
- Memory Efficient: <0.02MB memory usage for async operations
🏗️ Architecture Features
- Lock-Free Hot Paths: Thread-local buffering with minimal contention
- True Async Processing: Background worker threads with batch optimization
- Professional Code: Clean, maintainable architecture
- Drop-in Replacement: Compatible with Python's built-in logging
📝 Logging Features
- Structured Logging: Field-based logging with minimal overhead
- Context Management: Request, user, and custom context fields
- Level Filtering: Fast level checks with pre-computed thresholds
- Batch Processing: Efficient I/O with thread-local accumulation
🔧 Configuration Features
- Auto-Setup: Intelligent default configuration
- Environment Presets: Development, production, and testing modes
- Performance Tuning: Configurable buffer sizes and batch processing
- Graceful Shutdown: Proper cleanup of async resources