We build APIs, real-time services and microservices on Node.js — event-driven and non-blocking, so a single server handles thousands of concurrent connections without breaking a sweat. One JavaScript runtime, from your front end to your infrastructure.
{ "id": "ord_4821", "status": "created" }
Our Node.js stack
ExpressNestJSFastifySocket.IOGraphQLPrismaPostgreSQL & MongoDBRedisNode.js runs JavaScript on the server with a single-threaded, event-driven model. Instead of blocking a thread per request, it hands slow work — database calls, file reads, third-party APIs — to the system and keeps serving other clients. That's why it excels at real-time apps and high-traffic APIs. In the 2024 Stack Overflow Developer Survey, Node.js was among the most widely used web technologies, reported by roughly 40% of developers.
We pair it with the rest of your stack: shared code with your React front end, fully typed services in TypeScript, and clean integration into any web application we build. One language across the whole product means less context-switching and fewer bugs at the seams.
The server-side layer your product runs on — designed to stay fast as traffic grows.
Clean, well-documented APIs that power web and mobile front ends, with sensible auth, validation and versioning baked in from the start.
Explore web developmentIndependently deployable services that scale the busy parts of your product without dragging the whole system along — ideal for growing SaaS.
See SaaS developmentChat, live dashboards, notifications and collaboration built on WebSockets — where Node's event-driven model genuinely shines.
See app developmentNode services written in TypeScript, so requests, responses and models are all typed — fewer integration bugs and an API that documents itself.
See TypeScript developmentEnd-to-end apps on MongoDB, Express, React and Node — one JavaScript stack from database to browser, built and shipped by one team.
See React developmentPayment, CRM, messaging and AI-model integrations wired into reliable Node services, with queues and retries so nothing gets lost.
See AI developmentNode isn't automatically "better" — it's a different model. Here's where it wins and where a classic stack still fits.
| What matters | Node.js | Thread-per-request (classic PHP/Java) |
|---|---|---|
| Concurrency model | Event loop, non-blocking I/O | One thread per request |
| Real-time features | Native fit — WebSockets, streaming | Bolt-on, often a separate service |
| Language across stack | Same JavaScript front and back | Different language each side |
| Many small I/O calls | Extremely efficient | Heavier per connection |
| Heavy CPU-bound work | Offload to workers/services | Handles it in-thread |
| Package ecosystem | Vast (npm) | Mature, language-specific |
From the API behind your app to the pipeline moving your data, Node.js covers a wide slice of the back end.
The non-blocking model isn't just an engineering detail — it changes your hosting bill and your user experience. Node servers stay responsive under load, real-time features feel instant, and one shared language keeps your team small and fast.
Node makes it easy to ship something. We make sure it survives real traffic.
Layered services with clear boundaries, so features are easy to add and the codebase doesn't turn into spaghetti as it grows.
Input validation, auth, rate limiting and safe secrets handling built in — not bolted on after a review flags them.
Background jobs, retries and idempotency so slow or failing third-party calls never take your whole API down.
Structured logging, metrics and tracing so when something misbehaves in production, we can see exactly where and why.
Automated tests and TypeScript on the critical paths, so refactors and new features don't quietly break existing behaviour.
Stateless services, caching and containerisation, so scaling out is a config change — not a rewrite — when traffic spikes.
The back ends behind apps our clients run every day.
A familiar story: a product takes off, the original back end starts to buckle at peak, and every deploy feels risky. Here's how a Node.js rebuild usually goes.
A growing platform where traffic spikes caused slow responses and timeouts, and one heavy feature could drag down the entire application.
Carve the busiest workloads into focused Node.js services, add caching and queues, and make each service stateless so it can scale on its own.
Peak traffic stops being scary, real-time features feel instant, and the team can deploy one service without holding its breath over the rest.
A clear path whether you're building fresh or rescuing a back end under strain.
We map your traffic, data and integrations, and agree on the scale and SLAs you need.
We design the contracts, data model and service boundaries before a line of code ships.
We develop in reviewed increments with tests, types and clear logging from the start.
We test under realistic load, tune the hot paths and wire in caching and queues.
We deploy, monitor and keep scaling as your product and traffic grow.
We are the engineers behind the products, not on them. For 12+ years we've built and run Node.js services in production — so we design for the 3 a.m. incident, not just the demo, and hand you code your own team can own.
"Our API went from falling over at peak to barely noticing it. The Node rebuild paid for itself."
What happens when concurrency, caching and clean architecture are designed in from the start — not patched in later.
New API, real-time feature or an overloaded server that needs rescuing — tell us what you're running. We'll share a clear plan, estimate and roadmap.
Tell us about your project and our team replies within 24 hours with a clear scope and estimate — no obligation.
