Agentic Unconference 2026 - September 19, Chennai
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We build Node.js APIs, real-time platforms and event-driven services for companies running serious traffic. Senior engineers handle the parts that break at scale, including blocked event loops, runaway npm dependencies and the migration off an end-of-life Node version.
Node.js development services cover the design, build and support of server-side applications on the Node.js runtime, which runs JavaScript outside the browser. In practice, node js application development services span APIs, real-time systems, streaming and microservices. One process holds thousands of connections at once, with no thread per request.
✓ Your product lives on real-time updates. Chat, live dashboards, collaborative editing, order tracking, multiplayer state. Node.js holds tens of thousands of open sockets on modest hardware. There is no thread per connection to pay for.
✓ Your team already writes JavaScript on the front end. One language across the stack means shared types and shared validation schemas. Engineers move between the API and the UI without a context switch. Hiring gets easier too, because the talent pool is the largest in backend development.
✓ You are breaking a monolith into services. Node.js services start in milliseconds and stay small. That makes them cheap to run on Kubernetes or serverless, and quick to redeploy. That matters when you have forty services, not four.
✓ You need an integration layer in front of messy back ends. A backend for frontend or API gateway in Node.js is mostly I/O. Call six systems, reshape the payloads, return one response. That is exactly the workload the event loop was built for.
> Your workload is CPU-bound, not I/O-bound. Video transcoding, large-scale simulation, heavy cryptography and image processing all block the single event loop. Worker threads help, but a compiled runtime usually wins outright. We would rather point you at dedicated Java developers than sell you a workaround.
> The work is data science or machine learning, not application plumbing. Node.js can call a model API, but training, feature engineering and the numerical libraries live in Python. For anything past inference calls, hire dedicated Python developers and let Node.js handle the surrounding API.
> You need predictable tail latency at very high request volume. Garbage collection pauses and single-threaded execution make p99 harder to pin down than in a compiled runtime. For pricing engines, ad bidding and telemetry ingestion, dedicated Golang developers give you a tighter tail.
Custom Node js development starts with the data model and the contracts between services, not the folder structure. We build typed APIs, background workers and admin tooling that your own engineers can still read six months later.
We move PHP, ExtJS and aging Express codebases onto a supported Node.js LTS line in slices. The old system keeps serving traffic. Strangler routing first, then the data layer, then the cutover. Pairs with our application modernization services on wider estates.
Containerized services on ECS Fargate, Cloud Run or Kubernetes, sized from real traffic rather than guesswork. We set autoscaling on event loop lag and request concurrency. CPU alone lies about a Node.js process under load.
REST, GraphQL and gRPC services that sit between your ERP, CRM, payment rails and partner feeds. We version contracts, handle retries and idempotency properly, and publish an OpenAPI spec your partners can actually build against.
Test pyramids that people trust, pipelines that block bad code, and an on-call rotation that reads dashboards instead of guessing. This runs alongside our DevOps and quality engineering practice when the gap is process rather than headcount.
Retrieval, summarization and agent workflows added to software you already run, not a separate AI product. We wire model calls behind queues and timeouts. A slow provider then degrades one feature, not the whole service.
Under 90 days
HIPAA-compliant chat platform, fully deployed.
Built the chat platform with React.js, Node.js and ASP.NET Core, added SignalR sockets for low-latency messaging, and stored documents on a private IPFS gateway.
150%
Faster cross-platform game deployment.
Combined a PIXI.js and GSAP frontend with a Node.js backend, then used TypeScript to process state transitions between base spins and free games without latency.
35%
More user engagement from cashback and deals.
Developed an affiliate commerce app with Flutter on the front end and Node.js for backend processing, backed by MongoDB, Firebase Authentication and ethical brand APIs.
Get a 20-minute technical read from a senior engineer. No pitch deck, no sales team.
Run Node.js 24, the active LTS line, and treat Node.js 22 as a maintenance-only stopgap. Node.js 20 and Node.js 18 have reached end of life. They no longer receive security patches, which most compliance reviews will flag. Moving between LTS lines is usually cheaper than teams expect. The breaking changes cluster in native modules, deprecated APIs and older build tooling. We audit dependencies before touching the runtime, since the packages are almost always the slow part of the upgrade.
Enterprise Node.js work is priced on team composition and duration, not on feature count or lines of code. Four things move the number: seniority mix, scope certainty, compliance load, and how many systems you must integrate with. A two-engineer top-up and a full delivery pod sit an order of magnitude apart. We size the team to the work. For scoped project engagements we quote within 24 to 48 hours.
Outsourced Node.js development services work best when the engineers sit inside your sprints rather than behind a delivery wall. You interview them before committing. Our published staffing SLAs run from the point a requirement is agreed. Curated profiles in 24 to 48 hours, onboarding in 48 to 72 hours. Delivery runs from the US and India, so standups have real overlap. Every engineer signs an NDA before day one, and you own the code from the first commit.
Yes, and when it fails the cause is rarely raw throughput. Node.js absorbs high concurrency well, because it does not spawn a thread per request. The usual culprit is one synchronous operation blocking the event loop: a large JSON parse, a crypto call, a regex on untrusted input. We cluster across cores and push CPU-heavy work to worker threads or a separate service. Scaling keys off event loop lag, not CPU. Past that, the ceiling is your database and your downstream systems, not the runtime.
We pin versions with a committed lockfile and generate an SBOM on every build. High-severity advisories fail the pipeline instead of raising a warning. We treat dependency count as a cost. A service carrying 900 transitive packages has a far wider attack surface than one carrying 200. Where it is sensible, we swap single-purpose packages for standard library code. Publish and deploy steps use short-lived OIDC credentials rather than long-lived tokens.
Tell us the shape of the problem. A senior engineer reads it and replies. You won't get a templated capability deck.
