JavaScript at Scale, Server-Side
Node.js handles real-time, connects to anything, scales horizontally. We build APIs that serve millions, handle real-time with WebSockets, and integrate seamlessly with your entire tech stack.
What we deliver with Node.js
API design and contracts
REST or GraphQL shaped around client needs, validated inputs, versioned endpoints, and generated types shared with the frontend.
Real-time architecture
WebSocket gateways with backplane pub/sub, presence handling, and reconnect logic that behaves when mobile clients drop off.
Event loop health
Profiling to find blocking work, worker threads for CPU-bound tasks, and streaming instead of buffering large payloads.
Failure handling that holds
Unhandled rejection tracking, timeouts on every outbound call, circuit breakers, and graceful shutdown on deploy.
Monorepo and tooling
Workspace structure, shared packages, consistent lint and typecheck, and builds that stay fast as the repo grows.
How we work with Node.js
Node is exceptional at concurrent I/O and unforgiving about anything that blocks. We profile the event loop early, move genuinely CPU-heavy work into workers, and put timeouts and limits on every outbound dependency. Most Node incidents we are asked to fix are one unguarded call away.
Types and contracts are shared across the stack, so a change to a response shape fails the build rather than a mobile client in production. It is the main reason a JavaScript codebase stays changeable after the first year.
Node.js in production: where it breaks
The same handful of problems show up on almost every engagement. Naming them early is cheaper than discovering them at 2am.
Blocking the event loop
Synchronous crypto, large JSON parsing, or heavy regex stall every request. Worker threads or streaming restore responsiveness.
Unbounded in-process caches
A convenient object cache grows until the container is killed. Bounded caches with eviction or an external store fix the memory profile.
Unhandled promise rejections
A rejected background task silently disappears. Central handlers plus alerting make failures visible before data is lost.
When to use Node.js
API and backend-for-frontend layers serving web and mobile clients.
Realtime SaaS features: collaboration, notifications, live dashboards.
Serverless functions where cold start and payload size matter.