Backend development

Backend: the unseen spine of your product

Backend development is the unseen layer where all performance and security live.

Quick answer

Backend development: REST/GraphQL APIs, Postgres + Prisma, BullMQ job queue, Redis cache — high-performance and scalable backend.

Node.js, Python (FastAPI / Django), Go — chosen per project. Type-safe DB layer with Postgres + Prisma. API in REST, GraphQL, or tRPC.

Start a backend project All services

Standard for backend delivery

TypeScript / Python / Go — per project
Postgres + Prisma type-safe DB
Right pick across REST + GraphQL + tRPC
BullMQ job queue + Redis cache
OpenTelemetry distributed tracing

100+

Projects shipped

10+

Years of experience

City coverage

4.9/5

Customer rating

01.

Backend architecture choice

Decision points in backend development: language (Node.js, Python, Go, PHP), framework (Express, NestJS, FastAPI, Django, Gin), database (Postgres, MySQL, MongoDB), API type (REST, GraphQL, tRPC), deployment (serverless, container, VM).

For most modern projects, Node.js + TypeScript + Postgres + Prisma + tRPC is the fastest, most sustainable path. Your team's expertise can shift the choice; we make it during discovery.

02.

Database design and performance

70% of backend issues stem from poor database design. We design a normalized, indexed, foreign-key-enforced Postgres schema. Prisma ORM ensures type-safe DB access.

N+1 query problem, missing indexes, full table scans — these are the main causes of production slowness. We check every critical query with EXPLAIN ANALYZE and add the right indexes.

03.

Background jobs and queues

Sending emails, image processing, AI calls, large data exports — all run in a background queue. Our standard combo is BullMQ + Redis.

Failure handling: exponential backoff retry, dead-letter queue, job scheduling (cron). This infrastructure is the foundation of product scalability.

04.

Security and compliance

Backend security basics: input validation (Zod), SQL injection prevention (parameterized queries / Prisma), authentication (JWT, session, OAuth), authorization (RBAC), rate limiting, CSRF protection, secrets management.

When GDPR / KVKK / PCI-DSS compliance is required, audit log, encryption at rest, and encryption in transit are standard. Compliance is brought into scope from day one.

Frequently asked questions

REST or GraphQL or tRPC?

Internal full-stack TypeScript projects: tRPC is fastest. Public APIs: REST is most common. When the frontend has very different data needs, GraphQL fits better.

Postgres, MySQL, or MongoDB?

Postgres is the first pick for relational data (most enterprise products). MongoDB suits document-based needs (CMS, logs, event store). MySQL when an existing ecosystem requires it.

Serverless or container?

Serverless (Vercel, Railway, Fly.io) is the fastest path for small/mid projects. K8s container is more flexible at large scale. We decide based on traffic profile and cost.

Can you take over my existing backend?

Yes. Code review + roadmap revision-based takeover. Week one — technical-debt inventory, week two — roadmap.

Microservices or monolith?

Modular monolith (modular code, single deployment) in most of our projects — operational complexity drops. We migrate to microservices gradually when truly needed.

Locations