Go's Speed: Adaptive Load Balancing for LLMs Reaches New Heights
Analysis
Key Takeaways
- •Adaptive routing adjusts weights based on latency, error rates, and throughput for optimal LLM provider selection.
- •Atomic operations and a separate goroutine allow for lock-free metric tracking, ensuring high performance at scale.
- •Efficient connection pooling and provider health scoring contribute to the overall resilience and responsiveness.
“Running this at 5K RPS with sub-microsecond overhead now. The concurrency primitives in Go made this way easier than Python would've been.”