What is Node.js development?
Node.js development is building server-side software, such as APIs, background workers and integrations, in JavaScript or TypeScript using the Node.js runtime. Node handles many connections at once without blocking, which suits APIs, real-time updates and systems that spend their time waiting on other systems.
Most operational software is mostly plumbing: a booking arrives, a record is created, a reminder is scheduled, a payment webhook comes back, a dashboard updates. Node.js is good at that kind of work, and using TypeScript on both server and browser lets one team share types and validation end to end.
It is not our choice for heavy number-crunching or model training. That work goes to Python, and Node calls it as a service. We pick the simplest tool that will hold up.
- Which reminder or follow-up depends on someone remembering?
- Which two systems are kept in sync by copy and paste?
- Which status do staff refresh a page to check?
How a Node.js build runs
Integrations are tested against real data while the old process keeps running.
1. Bottleneck review
We map the hand-offs between people and systems and list what should happen automatically.
2. Plan
Data model, APIs, jobs, integrations, timeline and cost, approved by you before the build starts.
3. Build in short cycles
Working endpoints and jobs every cycle, with tests and API documentation kept up to date.
4. Run in parallel
Automated reminders and syncs run alongside the manual process until the results match.
5. Go live and train
Cut-over with monitoring in place. Your team gets runbooks and API documentation.
6. Support and improve
A named support contact, alerts on failures and the next layer of automation once the basics are trusted.
Why Node.js backends become hard to live with
Node makes it quick to get an API running. Without structure, it is just as quick to build one nobody can safely change.
No structure
Routes, business rules and database calls mixed in the same files, so every change risks breaking something else.
Jobs run inside requests
Emails, reminders and syncs are done while the user waits, and silently lost when the server restarts.
Fragile integrations
No retries, no logs, no record of what was sent. When a partner API fails, nobody notices until a customer complains.
Security as an afterthought
Weak input validation, shared admin keys and no audit trail on sensitive records.
Data model guessed
Collections and tables designed before the workflow was mapped, so reporting needs painful workarounds later.
No visibility
No metrics or structured logs, so problems are found by users rather than by the team running the system.
What we build with Node.js
Each backend is designed around who owns each step and what management needs to see.
- 01
REST and GraphQL APIs
Well-documented APIs with versioning, validation and role-based access, built on Express, NestJS or Fastify.
- 02
Live status with WebSockets
Queues, bed status, order tracking and dashboards that update the moment something changes.
- 03
Queues and background jobs
Reminders, follow-ups, report generation and retries that run reliably in the background with BullMQ and Redis.
- 04
Integrations and webhooks
Payment gateways, messaging, accounting, lab and partner systems, with retries, logs and alerts.
- 05
Data layer
PostgreSQL with Prisma, or MongoDB with Mongoose, with migrations, audit trails and reporting designed in.
- 06
Workflow and rules engines
Approvals, escalations and status changes that follow your rules, with a named owner at each step.
Backend capability, and what it gives your team
The technical pieces matter because of what they change for the people doing the work.
| Capability | What it gives your team |
|---|---|
| Background job queue | Reminders and follow-ups go out on time, even if no one is at a desk |
| Webhooks with retries and logs | A failed payment or message is retried and flagged, not lost |
| WebSocket updates | Staff see a status change immediately instead of calling to ask |
| Audit trail | Every change to a record shows who made it and when |
| Documented API | Your team or a partner can build on the system without reading the code |
| Structured logs and alerts | Problems are spotted by the team running the system before users notice |
Ways to work with us
Pick the model that matches where your backend is today.
| Model | Best when | How it is priced |
|---|---|---|
| Bottleneck review | An API is slow, unreliable or blocking new features | Fixed fee for a short, defined engagement |
| Defined build | The workflows and integrations are agreed and need building | Fixed scope, paid against agreed milestones |
| Managed team | You need a backend team for a set project and period | Monthly, based on the team composition you need |
We quote after the first conversation, once we know the scope. Every system is handed over with documentation and a named support contact.
Our Node.js toolkit
Chosen per project, favouring mature libraries with long-term support.
Core
- Node.js
- TypeScript
- Express
- NestJS
- Fastify
APIs and real time
- REST
- GraphQL
- Apollo
- Socket.IO
- OpenAPI
Data and jobs
- PostgreSQL
- Prisma
- MongoDB
- Mongoose
- Redis
- BullMQ
Testing
- Jest
- Vitest
- Supertest
- Postman
Deployment
- Docker
- GitHub Actions
- AWS
- Google Cloud
- Azure
A hospital system backend built on Node.js
A 50+ module hospital management system for a psychiatric and mental healthcare practice, built with React, Node.js and PostgreSQL and delivered in three months.
Hospital OS: Billing, Admin & Analytics
Charges captured where care happens, access controlled by role, and the whole hospital on one dashboard.
- 1
- Dashboard for the whole hospital
- 50+
- Modules in the full system
- 100%
- Workflow digitised
Where to go next
Full Stack Development
Full stack development with one team owning frontend, backend, data, integrations and deployment, in React, Next.js, Node.js, Python and PostgreSQL.
Learn moreWorkflow Automation
Workflow automation for follow-ups, hand-offs, approvals, data movement and reports. Every run is logged and a named owner is alerted when something fails.
Learn moreHealthcare Integration
Healthcare integration that connects lab machines, PACS, insurance portals, accounting, WhatsApp and HL7 / FHIR systems, so staff stop typing the same data twice.
Learn more
Frequently asked questions
NestJS for larger systems that need firm structure, Express for smaller services and existing codebases, Fastify where raw throughput matters. We explain the choice in the plan.
Both. REST is simpler for most integrations. GraphQL helps when many different screens need different shapes of the same data.
Usually PostgreSQL with Prisma, because operational data is relational and reporting is easier. MongoDB with Mongoose fits document-shaped data well.
They run in a job queue, not inside a web request, with retries, logs and an alert when something fails repeatedly.
Usually, yes. We connect through APIs, webhooks, file drops or the database where that is safe, and log every exchange.
Yes. A bottleneck review shows where it is slow or fragile, and we fix the worst parts first while it stays in use.
You do. It is handed over with documentation and a named support contact.
Bring us your bottleneck.
If a process in your organisation depends on one person remembering to follow up, describe it to us. You will get a straight answer on whether it needs automation, software, a team, or none of these.
Or write directly to support@algonsolutions.com