We design and build production Node.js systems — from high-throughput APIs and real-time applications to event-driven microservices. TypeScript-first. Performance-obsessed. Battle-tested.
Our Node.js engineers also deliver full-stack solutions using React Development, Web Application Development, Django Development to deliver robust, future-proof applications.
From API design and real-time features to microservices and performance tuning.
RESTful and GraphQL APIs built with Express.js and NestJS — optimized for throughput, low latency, and horizontal scaling under heavy load.
WebSocket and Server-Sent Events implementations for live dashboards, chat systems, collaborative editing, and real-time notifications at scale.
Decompose monoliths into focused, independently deployable Node.js microservices with message queues, service discovery, and circuit breakers.
Event sourcing, CQRS patterns, and message-driven architectures using RabbitMQ, Redis Streams, and AWS SQS for decoupled, resilient systems.
API gateway patterns, Backend-for-Frontend layers, rate limiting, authentication middleware, and request transformation — managing API complexity at scale.
Memory leak detection, event loop profiling, connection pool tuning, and Node.js-specific performance diagnostics for production workloads.
We don't just write Node.js code — we design architectures that handle growth, complexity, and operational reality.
Start with a well-structured modular monolith, then extract microservices when scale demands — avoiding premature complexity.
Loosely coupled services communicating through events — ideal for workflows, notifications, and data processing pipelines.
Separate read and write models for complex domains — perfect for fintech, audit-heavy, and multi-tenant applications.
AWS Lambda and Vercel Edge Functions for compute-on-demand — zero idle cost, instant scaling, and reduced operational burden.
Node.js excels at I/O-heavy workloads — APIs, real-time apps, and data streaming. Its non-blocking event loop handles thousands of concurrent connections efficiently. Choose Python for ML/data science workloads, Go for CPU-intensive systems. For web APIs and real-time features, Node.js is often the optimal choice.
Express is minimal and flexible — great for small services and teams that prefer convention-over-configuration. NestJS provides structure, dependency injection, and built-in patterns (guards, interceptors, pipes) — ideal for larger applications and enterprise teams. We recommend NestJS for new projects above MVP stage.
Absolutely. Netflix, PayPal, LinkedIn, and Uber all run Node.js in production. With proper architecture — horizontal scaling, connection pooling, caching, and load balancing — Node.js handles millions of concurrent connections. The key is architecture, not the runtime.
We use Clinic.js for event loop profiling, heapdump analysis for memory leaks, APM tools like Datadog or New Relic for production monitoring, and load testing with k6 to identify bottlenecks before they hit users. Most Node.js performance issues are architectural, not runtime limitations.
Yes — we use TypeScript on every Node.js project. Type safety catches bugs at compile time, improves IDE support and refactoring confidence, and makes codebases significantly easier to maintain as teams and features grow.