Use the event loop, don't block it
Node's single-threaded event loop is fast for I/O-heavy work and terrible if you block it. We keep CPU-heavy tasks off the main thread (worker threads, queues, or a dedicated service), stream large payloads, and profile the event loop so one slow handler can't stall the whole API.
Scale out, cache hard
We run Node stateless behind a load balancer so it scales horizontally — clustering across cores and adding instances as traffic grows. In front of that, caching does the heavy lifting: Redis for hot data and sessions, HTTP caching at the edge, and careful invalidation so you serve most requests without touching the database.
The database is usually the real bottleneck
Most 'Node doesn't scale' problems are actually database problems. We design schemas and indexes for the access patterns, use connection pooling, add read replicas and queues to smooth spikes, and move slow or async work (emails, exports, ML) off the request path entirely.
You can't scale what you can't see
We instrument from day one — structured logs, metrics, tracing and alerting — so you scale based on real bottlenecks instead of guesses. Load testing before launch tells you where it breaks before your users do.
