Backend

Backend, APIs and real time

The part nobody sees decides whether your product holds up. We design backends with caching, asynchronous processing and real-time communication from the start.

What's included

Everything you need, from start to finish.

REST and GraphQL APIs with NestJS, FastAPI or Spring Boot
Redis caching for millisecond responses
Queues and workers for background jobs
WebSockets for chat, notifications and live dashboards
Data modeling in PostgreSQL or Supabase
Observability: logs, metrics and alerts
Technology

The usual stack for this service.

We choose based on your case; these are the tools we use most here.

Node.jsNestJSPythonFastAPIJava · Spring BootPostgreSQLSupabaseRedisRabbitMQBullMQWebSockets
How we use AI

AI-assisted performance analysis, generated load tests and slow-query reviews before they reach production.

Process

How we do it.

  1. 01 · Week 1DiscoverWe understand the business, users and constraints before writing code.
  2. 02 · Weeks 2–3DesignArchitecture, prototype and delivery plan. You know what you get and when.
  3. 03 · 2-week sprintsBuildShort deliveries with a working demo at the end of every sprint.
  4. 04 · OngoingScaleMonitoring, performance and new features while your product grows.
Questions

About this service.

When do you need a queue?

When a task takes longer than a user should wait: emails, payments, reports, file processing or AI calls. The queue runs it in the background and retries it if it fails.

Node.js, Python or Java?

It depends on the team, the domain and the load. Node.js and NestJS for APIs and real time, Python for data and AI, Java for critical transactional systems.

$ ilabs realtime-backend --start

Shall we talk about your project?

Tell us what you need and we'll suggest the right approach and stack.

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