APIs for web and mobile apps
REST or GraphQL endpoints that mostly read and write a database and call other services, where I/O rather than CPU sets the pace.
Technologies · Node.js
Node.js development for APIs that handle many connections at once
We choose Node.js when a backend spends most of its time waiting on databases, third-party APIs and open sockets, and when sharing TypeScript between server and browser saves a team real effort.
What is Node.js?
Node.js development is building server-side software with Node.js, an open-source runtime that executes JavaScript and TypeScript outside the browser on Google's V8 engine. Its event loop and non-blocking I/O let one process serve many concurrent requests without a thread per connection, which suits APIs, webhooks, chat and streaming. Packages come from npm, the largest public registry of reusable JavaScript code.
Where Node.js earns its place
Real-time features
Live dashboards, notifications, chat and collaborative editing over WebSockets or server-sent events.
Integration and webhook services
Small services that receive events from Stripe, Shopify, Odoo or a CRM, transform them and pass them on reliably.
Full-stack TypeScript teams
One language and shared types across a React or Next.js front-end and the backend, so validation and data shapes are defined once.
When we recommend something else
- Heavy number crunching, image processing or model training in the request path — Python, Go or a worker in a compiled language handles CPU-bound work better.
- Data science and machine-learning pipelines — Python's libraries are far more mature for that work.
- ERP back-office processes such as accounting, stock and payroll — extending Odoo is usually cheaper than rebuilding them in a custom Node.js app.
- A simple content website — a CMS or a static site needs no custom backend at all.
Node.js systems we build
REST and GraphQL APIs
Versioned, documented endpoints with schema validation, authentication, rate limiting and automated tests.
SaaS backends
Multi-tenant services with role-based access, billing webhooks, background jobs and audit logs.
Real-time services
Socket servers for live updates and messaging, scaled horizontally with Redis pub/sub.
Integration middleware
Queue-backed connectors that sync orders, customers and stock between Odoo, storefronts and payment providers, with retries.
Layers of a production Node.js service
L1
Clients & gateway
Web, mobile and partner systems reach the service through a reverse proxy or API gateway that terminates TLS and applies rate limits.
L2
HTTP & socket layer
Fastify, Express or NestJS routes validate every request against a schema before any business code runs.
L3
Domain services
Business rules live in plain TypeScript modules, independent of the framework, so they can be tested in isolation.
L4
Jobs & queues
Slow or retryable work, such as emails, PDFs and third-party sync, moves to BullMQ workers backed by Redis.
L5
Data stores
PostgreSQL or MongoDB accessed through Prisma, Drizzle or a query builder, with migrations kept in version control.
L6
Runtime & monitoring
Containerized processes with health checks, structured logs and OpenTelemetry traces so slow endpoints are visible.
Ecosystem we work with
- TypeScript
- Express
- Fastify
- NestJS
- Prisma
- Drizzle ORM
- Socket.IO
- BullMQ
- Redis
- Zod
- Vitest
- Docker
Concurrency, safety and room to grow
High concurrency on modest hardware
Non-blocking I/O lets a single process keep thousands of idle connections open while it waits on databases and APIs.
Validated inputs
Every request body is parsed against a schema, which blocks malformed data and documents the API at the same time.
Dependency hygiene
Lockfiles, npm audit, Dependabot and a small dependency list reduce exposure to supply-chain problems.
Graceful scaling
Stateless processes behind a load balancer scale out by adding instances; sessions and caches live in Redis.
Node.js or Python for your backend?
| Factor | Node.js | Python |
|---|---|---|
| Concurrency model | Single-threaded event loop, non-blocking I/O by default | Threads, processes or asyncio; async is opt-in per framework |
| Best fit | APIs, real-time apps, integrations, BFF layers | Data processing, AI/ML, automation, Odoo modules |
| Shared code with front-end | Same language and TypeScript types as React/Next.js | Separate language; types shared via OpenAPI or code generation |
| Typical frameworks | Express, Fastify, NestJS | Django, FastAPI, Flask |
| CPU-heavy tasks | Needs worker threads or a separate service | Strong library support, though still often offloaded to workers |
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
Node.js questions
What is Node.js used for?
Node.js is used to build backend services in JavaScript or TypeScript: mainly APIs, real-time applications such as chat and live dashboards, integration services, command-line tools and the server side of frameworks like Next.js.
Is Node.js good for large applications?
Yes, when it is structured well. Large Node.js codebases stay maintainable with TypeScript, a modular framework such as NestJS, clear boundaries between domain logic and transport, and automated tests. CPU-heavy parts are better split into separate workers or services.
Should we use Express, Fastify or NestJS?
It depends on team size and structure. Express is minimal and widely known, Fastify adds speed and built-in schema validation, and NestJS provides an opinionated, module-based architecture that helps larger teams keep a big codebase consistent.
Can Node.js connect to Odoo, Shopify or other business systems?
Yes. Node.js services commonly call Odoo's external API, Shopify's Admin and Storefront APIs, payment gateways and CRMs, and receive their webhooks. We add queues and retries so a temporary outage on one side does not lose data.
Which Node.js version should a production app run?
Production apps should run an even-numbered Long-Term Support (LTS) release, because those receive security fixes for an extended period. Odd-numbered releases are short-lived and better suited to testing upcoming features.
Is Node.js secure?
Node.js itself is actively maintained and patched, but most risk comes from application code and third-party packages. Input validation, parameterized queries, secret management, dependency scanning and regular updates are what keep a Node.js service secure.
Next step
Planning an API or real-time backend?
Describe the clients, data and integrations involved. We'll tell you whether Node.js fits, which framework suits your team, and where Python or Odoo might be the better tool.