In performance critical domains like fintech, gaming, real-time analytics, AI inference, and edge computing, even small inefficiencies can cause event loop stalls and unpredictable tail latency.

This talk explores how to push Node.js beyond its perceived limits by combining modern platform capabilities: worker_threads for true parallelism, native modules via N-API (Rust or C++) for CPU-intensive workloads, and fine-grained performance analysis of the event loop. Through a real-world API example, we’ll show how to offload heavy computation without blocking request handling, reduce serialization overhead, and achieve stable, low-latency responses under high load.

Attendees will learn how to identify CPU bottlenecks, design worker pools, decide when JavaScript is “fast enough,” and integrate native code without sacrificing maintainability. The session includes live demos, profiling graphs, and before/after latency benchmarks using tools like clinic.js.