Technologies · Node.js
Node.js back ends, APIs and integrations that stay up
We build REST and GraphQL APIs, payment and CRM integrations, background jobs and real-time features in Node.js and TypeScript, with tests, monitoring and runbooks included.
Node.js is an open-source runtime that runs JavaScript on servers, built on the V8 engine from Google Chrome. It handles many simultaneous connections cheaply, which makes it a natural fit for APIs, integrations and real-time features: work that mostly waits on a database, a payment provider or another API. Meritbyte Technologies, a Nepal-based software development company, builds Node.js back ends in TypeScript for clients in Nepal, the USA, Australia, Canada and the UK, and hands over the code in the client's own repository.
What is Node.js good for?
Node.js is good at input and output: receiving requests, calling other systems and returning answers quickly. Typical jobs we give it:
- APIs for web and mobile apps, in REST or GraphQL, with authentication and role-based access.
- Integrations that move data between a website, a CRM, an accounting system and a payment gateway, so staff stop re-typing it.
- Webhooks and job queues: processing orders, sending email, generating PDFs and syncing records in the background, with retries when a third party is down.
- Real-time features over WebSockets: chat, live notifications, delivery tracking and dashboards that update without a refresh.
One language across the stack is a real advantage. A team writing React or Next.js on the front end can share types, validation rules and people with the back end.
When to choose Node.js, Python or Go
Node.js is not the answer to everything. It runs JavaScript on a single main thread, so heavy computation blocks other requests unless it is moved to worker threads or a separate service.
| Choose | When |
|---|---|
| Node.js | APIs, integrations and real-time features, especially with a JavaScript front end |
| Python | Data processing, machine learning, AI features or a Django admin out of the box |
| Go | High-throughput services where memory use and start-up time matter most |
| .NET | An existing Microsoft estate, or a team that already knows C# |
Many systems mix them: a Node.js API in front, a Python service for the AI or data work behind it. We choose per component, and say why in the scope.
How we build Node.js back ends
- TypeScript, strict mode. Shared types between the API and its clients, so a renamed field breaks the build rather than production.
- A framework that fits the team. Fastify for lean, fast APIs; NestJS for large codebases that benefit from structure; Express when extending an existing app.
- PostgreSQL by default, with migrations in version control and an ORM or query builder such as Prisma or Drizzle.
- Validation at the edge. Every request body checked against a schema before it touches business logic.
- Background work in queues, using BullMQ with Redis or a managed queue such as Amazon SQS, so a slow third party never slows a customer down.
- Security basics done every time: parameterised queries, rate limits, secrets in a vault rather than the repository, dependency scanning in the pipeline. Our website security checklist lists the essentials.
- Observability from day one: structured logs, error tracking, health checks and alerts, so problems are found by us before your customers.
Running Node.js in production
We deploy on an even-numbered Long Term Support (LTS) release of Node.js, which receives security fixes for a defined period, and plan upgrades before support ends. Applications ship in Docker containers through a CI/CD pipeline, to AWS, Azure, Google Cloud or a simpler host if traffic allows. Our AWS page and cloud and DevOps service cover the infrastructure side.
Modernising an old back end
A lot of Node.js work is replacement work: a PHP script, an Excel macro or an aging monolith that the business now depends on. We replace it in slices, routing one function at a time to the new service while the old one keeps running, so there is never a risky big-bang cut-over. Our guide to legacy system modernisation explains the approach, and our custom software development cost guide explains what drives the budget.
How a Node.js project runs with us
- Free scoping call; you get a written scope, a timeline and a number.
- Fixed-price first milestone, usually the API design, the data model and one end-to-end flow running on staging.
- Two-week build blocks, each ending in a demo. You can stop after any block.
- Handover with API documentation (OpenAPI), runbooks and the repository in your organisation, or a support retainer.
To add Node.js engineers to your own team instead, see hire developers.
Frequently asked questions
What is Node.js used for?
Node.js is used to run JavaScript on servers. Businesses use it for APIs behind web and mobile apps, integrations between systems such as CRMs and payment gateways, background job processing and real-time features like chat and live tracking. It is well suited to work that mostly waits on databases and other services.
Is Node.js good for large applications?
Yes, with structure. Large Node.js codebases stay manageable with TypeScript, a framework such as NestJS, clear module boundaries and automated tests. CPU-heavy tasks belong in worker threads or a separate service, because Node.js runs JavaScript on a single main thread by default.
Should our back end use Node.js or Python?
Choose Node.js for APIs, integrations and real-time features, especially if your front end is JavaScript. Choose Python for data processing, machine learning and AI features, or when Django's built-in admin saves weeks. Many systems use both, each for the part it does best.
Can you integrate our website with our CRM and payment gateway?
Yes. We connect websites and apps to CRMs, accounting systems, email platforms and payment gateways through their official APIs, with webhooks, retries and logging so failed syncs are caught and replayed. In Nepal that includes gateways such as eSewa and Khalti; abroad, Stripe, PayPal and similar.
Which Node.js version do you use?
We build on an even-numbered Long Term Support (LTS) release, which receives security fixes for a defined period, and plan upgrades before that support ends. Applications run in Docker containers, so the Node.js version is pinned and upgrading is a tested, reversible change.