Technology · Node.js
Node.js services
that stay responsive.
Event-driven backends, APIs and real-time features, JavaScript engineering applied to the server with production discipline.
server-side JS since
event-loop I/O model
shared npm packages
workload specialty
Why Node.js
Built for
many concurrent connections.
Node handles thousands of simultaneous connections on modest hardware because it never waits idly. That makes it excellent for APIs, chat, notifications and streaming, and a poor fit for CPU-heavy crunching. We deploy it exactly where those trade-offs favour you.
- APIs & microservices
- WebSockets / real-time
- Shared JS full-stack
- CLI & automation tools
- Streaming workloads
- Serverless functions
What we build
Six ways we build
with Node.js.
Each engagement shaped around your goals rather than a fixed package.
REST & GraphQL APIs
Documented service layers with validation and versioning from day one.
APIsReal-time features
Live chat, presence, notifications over WebSockets at scale.
Real-timeBackend for mobile apps
Auth, sync and push infrastructure serving Flutter clients.
Mobile BaaSIntegration glue
Webhooks, queues and third-party APIs stitched reliably.
IntegrationsAutomation & CLIs
Build tools and operational scripts that save real hours.
ToolingPerformance audits
Event-loop blocking, memory leaks and N+1 calls hunted down.
ProfilingProduction practice
Async by design,
not by accident.
Unhandled promise rejections and blocking loops sink Node services quietly. Our baseline: typed code, structured logging, graceful shutdowns and load tests proving the event loop stays flat under expected traffic.
The ecosystem
Frameworks chosen
per problem shape.
Express simplicity, Nest structure, Fastify speed, picked deliberately, never fashionably.
Our process
Endpoints specified
like contracts.
APIs are promises; we write them down before implementing them.
Contract design
Routes, payloads and error shapes documented via OpenAPI.
Step 01Data modelling
Storage and queue topology sized to traffic expectations.
Step 02Build & test
Services delivered with integration tests hitting real endpoints.
Step 03Load & launch
Bottlenecks removed under simulated peaks, then deployed monitored.
Step 04Operational safety
Processes that
come back up.
Servers crash; good Node deployments assume it and recover automatically.
Health endpoints
Orchestrators restart what actually failed.
Secret management
Credentials outside code and repos.
Runbooks included
On-call engineers get answers upfront.
FAQ
Common questions.
Is Node.js right for CPU-heavy tasks?
Usually not. Image crunching or ML belongs elsewhere; we architect accordingly and honestly.
Can Node handle high traffic?
Yes for I/O-bound work, which covers most web APIs, when load-tested properly.
Express or NestJS?
Express for focused services, Nest when structure and DI earn their keep at scale.
Can you share code with our React app?
Yes, validation schemas and types commonly travel both directions.
How do you handle background jobs?
Queue workers via BullMQ-style stacks, retried and monitored, never fire-and-forget.
Do you deploy with Docker?
Typically yes: containerised builds keep environments identical from laptop to prod.