Backend & API Development
Scalable APIs, microservices, and server architecture with Node.js, NestJS, and GraphQL. Event-driven systems, real-time WebSocket connections, and enterprise-grade security — built to handle millions of requests.
Your backend is the foundation everything else sits on — if it's slow, insecure, or difficult to extend, every other layer of your product suffers. We build APIs and services that are fast, secure, and designed to scale horizontally without requiring a rewrite. NestJS gives us enterprise-grade architecture with dependency injection, guards, interceptors, and modular organization — all the structural benefits of frameworks like Spring Boot, without the Java boilerplate.
For complex systems, we design microservices connected via REST, GraphQL, or gRPC with event-driven communication through message queues like RabbitMQ or AWS SQS. Each service owns its data, communicates through well-defined contracts, and can be deployed and scaled independently. For simpler applications, a well-structured monolith with NestJS modules is often the better choice — we help you pick the right architecture for your current scale.
Every API we ship includes JWT or OAuth 2.0 authentication, role-based access control, input validation with Zod or class-validator, rate limiting, SQL injection prevention via parameterized queries, comprehensive request logging, and auto-generated OpenAPI (Swagger) documentation. We also set up database migrations, seed scripts, and a local development environment so your team can onboard quickly.
Performance is non-negotiable: we use Redis for caching and session management, database connection pooling, query optimization with EXPLAIN analysis, and async processing via message queues for heavy operations like file processing, email sending, and report generation.
How It Works
Schema Design
Database modeling, entity relationships, and data flow
API Architecture
REST/GraphQL design, versioning, and documentation
Implementation
Endpoints, business logic, and service layer
Security & Auth
Authentication, authorization, and input validation
Deploy & Monitor
Containerization, CI/CD, and observability
Technology Stack
Frequently Asked Questions
REST is simpler to implement, easier to cache at the HTTP level, and ideal when your API serves a known set of clients with predictable data needs — most CRUD applications fit this pattern well. GraphQL shines when you have multiple clients (web app, mobile app, third-party integrations) that need different data shapes from the same backend, or when you want to eliminate over-fetching and under-fetching problems that plague REST APIs serving diverse consumers. With GraphQL, the client specifies exactly what fields it needs, reducing payload sizes and network round-trips. We often use both in the same system: REST for public-facing APIs (better documentation, simpler authentication, HTTP caching), and GraphQL for internal dashboard and mobile consumption where flexible queries save significant development time. For service-to-service communication in microservices, we also consider gRPC for its superior performance and strong typing via Protocol Buffers.
Security is built into every layer of our API development, not bolted on at the end. Authentication uses JWT tokens with refresh rotation or OAuth 2.0 flows depending on your use case, with API key authentication available for machine-to-machine communication. Role-based access control (RBAC) ensures users only access resources they're authorized to use, with permission checks enforced at the guard/middleware level — not scattered through business logic. Input validation runs on every request using Zod or class-validator to reject malformed data before it reaches your business logic. We prevent SQL injection via parameterized queries through ORMs like Prisma or TypeORM — raw queries are never constructed from user input. Additional protections include helmet for HTTP security headers, strict CORS configuration, rate limiting per endpoint, request signing for sensitive operations, and dependency vulnerability scanning in CI. Penetration testing against OWASP Top 10 vulnerabilities is available as an add-on for applications handling sensitive data.
Yes — we design for horizontal scaling from day one, which means your API can handle traffic growth by adding more instances rather than requiring a rewrite. Our approach includes stateless service design behind load balancers (no sticky sessions), Redis for caching frequently accessed data and managing sessions, PostgreSQL connection pooling via PgBouncer to handle thousands of concurrent connections efficiently, and async processing via message queues (RabbitMQ, AWS SQS) for heavy operations like report generation, email sending, and file processing. We implement database query optimization using EXPLAIN analysis, strategic indexing, and read replicas for read-heavy workloads. For real-time features, we use WebSocket connections with Redis pub/sub for horizontal scaling. We've built systems handling 10,000+ requests per second with sub-100ms P95 response times. Every project includes load testing with tools like k6 or Artillery to validate performance under expected peak traffic before launch.