Many integrations
A mature package ecosystem and asynchronous runtime suit products that coordinate several external services and events.
Backend
We use Node.js for product services that coordinate APIs, events, integrations, queues, and real-time work with a strong TypeScript ecosystem.
Why Node.js
A mature package ecosystem and asynchronous runtime suit products that coordinate several external services and events.
Web and service teams can share domain vocabulary, validation, and engineering conventions.
APIs, workers, scheduled jobs, webhooks, and real-time services can scale according to their own workload.
A browser request should not remain open while images process, reports generate, or several providers respond. We use queues, idempotent workers, explicit job states, and retry policies so long-running work can continue safely after the user leaves.
The interface receives meaningful status rather than a false progress animation. Operators can see failures, retry where appropriate, and distinguish an external delay from lost data.
Webhooks are authenticated and made idempotent. Provider rate limits, timeouts, partial failures, and version changes are handled behind adapters rather than leaking through the product. Secrets and permissions are scoped to the responsibility of each service.
We add structured logging, tracing or correlation identifiers, error reporting, and health signals around the flows support teams will need to investigate.
A modular application often makes the best starting point. We split services when deployment, security, ownership, or workload demands justify the operational cost. Heavy compute can move to Python or dedicated infrastructure while Node.js coordinates the product workflow.
This gives the team room to scale without taking on the cost of a distributed system too early.
A strong fit for
Commonly paired with
We choose the rest of the system around the data, workflow, team, integrations, and deployment needs. Each layer has to solve a specific product problem.
Built with Node.js
Yes for many I/O-heavy jobs. We use queues and separate workers, and move CPU-heavy or specialized processing to a more appropriate runtime when needed.
Both. We choose according to clients, domain boundaries, caching, integration needs, and team familiarity rather than defaulting to one transport.
Bring us the constraints. We'll explain whether Node.js fits and where another option would work better.