Enterprise-grade logging for Python offers a modern functional pipeline with structured logging and first-class integrations for FastAPI, Flask, and Django. This high-performance logging library is designed for production applications requiring both high throughput and excellent concurrency scaling. Key features include:

• High Performance: Achieves over 60,000 logs/sec throughput with balanced concurrency.
• Thread-Safe: Minimal contention with thread-local optimizations.
• Structured Logging: Field-based logging with minimal overhead.
• Memory Efficient: Less than 0.02MB memory usage for async operations.
• Professional Code: Clean, maintainable architecture.
• Drop-in Replacement: Compatible with Python's built-in logging.

This library is ideal for high-throughput applications such as API services, data processing, and real-time systems, providing minimal latency logging and memory-efficient operation. It supports asynchronous logging for scalability in distributed systems and cloud-native apps.