Backend & APIs
Node.js services for high-concurrency APIs and integrations
An event-driven runtime that handles thousands of concurrent I/O-bound requests efficiently — ideal for API gateways, integrations and real-time features.
10k+
Concurrent connections per modest instance
-30%
Integration delivery time with shared TypeScript types
99.9%
Uptime target with health checks and autoscaling
<150ms
P95 latency budget on core endpoints
Definition
What Node.js is
Node.js runs JavaScript on the server with a non-blocking event loop. It excels where work is I/O-bound — calling databases, third-party APIs and queues — rather than CPU-heavy computation.
When to use it
Where Node.js is the right call
Recognise your situation before committing engineering budget.
Capabilities
How we work with Node.js
What is actually delivered, beyond the logo on a stack slide.
API design
Versioned REST or GraphQL contracts with OpenAPI schemas and generated clients.
Integration engineering
Retries, idempotency keys, circuit breakers and dead-letter queues on every external call.
Background processing
Queue workers for invoicing, exports, notifications and scheduled reconciliation.
Observability
Structured logs, traces and metrics wired from day one, not after the first incident.
Strengths
- Shared language and types across front end and back end
- Huge package ecosystem for connectors and SDKs
- Fast cold starts, container and serverless friendly
- Strong fit for streaming and websocket workloads
Trade-offs to plan for
- Poor fit for CPU-intensive workloads — offload to Python or workers
- Dependency hygiene matters; audit and pin third-party packages
- Asynchronous error handling must be deliberate to avoid silent failures
Use cases
Node.js in production
Representative systems we build and support on this technology.
Omnichannel order API
One API surface consolidating web, mobile and marketplace orders into ERP.
Logistics tracking
Websocket delivery of vehicle and shipment status to dashboards and apps.
Partner integration hub
Normalised connectors to payment, tax and courier providers per country.
Comparison
Node.js vs Python vs Laravel for backend work
| Dimension | Node.js | Python / FastAPI | Laravel |
|---|---|---|---|
| Concurrent I/O | Excellent | Very good with async | Good |
| AI and data workloads | Limited | Excellent | Limited |
| Rapid CRUD and admin | Good | Good | Excellent |
| Shared types with React | Native | No | No |
Engineering practices
Non-negotiables on every engagement
Decision guide
Which direction fits your situation?
Match your constraints to the recommended approach.
| If this sounds like you | We recommend |
|---|---|
| API-heavy product with a React front end | Node.js with TypeScript and shared contracts |
| Machine learning or data pipelines in scope | Python services alongside a Node API gateway |
| Classic business CRUD with rich admin | Laravel, integrated over HTTP where needed |
Delivery
Services built on Node.js
Pairs well with
Industries running this
FAQ
Node.js questions, answered
Related technologies
What we usually pair with it
Next.js
Server-rendered React with routing, image optimisation and internationalisation built in — the pragmatic default when SEO and speed both matter.
PostgreSQL
An open-source relational database with genuine ACID guarantees, deep SQL, JSONB flexibility and vector search — the default system of record for serious business data.
Docker
Reproducible application images that remove "works on my machine" from the vocabulary and make deployments boring in the best possible way.
Planning a build or migration on Node.js?
Share your requirements and current systems. We will return an architecture recommendation, trade-offs and a phased plan — under NDA.