Production-grade APIs on Node.js, Express, Python/Django and Java. REST or GraphQL, monolith to microservices — we cover the full backend.
Backend is the spine of your product — get it wrong and product speed, security and cost all suffer. At Kritm we build backends on Node.js (Express, NestJS), Python (Django, FastAPI) and Java. We have deep practice with API design (REST + OpenAPI or GraphQL), authentication (JWT, OAuth2, SSO), data modeling (PostgreSQL, MySQL, MongoDB), caching (Redis), queues (RabbitMQ, BullMQ) and event-driven architectures. Whether you need an incremental monolith-to-services migration or a microservices system from scratch — we recommend the right path.
Every part of the backend layer, from API to infra.
REST or GraphQL API design, authentication, rate limiting, versioning and OpenAPI documentation.
Schema modeling, migration strategy, indexing and performance tuning. PostgreSQL, MySQL, MongoDB.
Monolith-to-services split, API gateway, service mesh, event-driven communication (Kafka, RabbitMQ).
Payment gateways (Stripe, iyzico), ERP, CRM, ERPnext, webhooks and event handler integrations.
Frameworks and tools we use in production.
Sustainable, testable and documented backends.
We assess traffic, data volume, latency and compliance needs, then recommend the right tech.
OpenAPI spec or GraphQL schema is designed upfront and signed off with your frontend team.
Test-driven approach. Live staging API and docs are current at the end of every sprint.
Load testing with k6, OWASP Top 10 audit, secret scanning and dependency audits.
Docker + CI/CD, automated migrations, log aggregation (ELK, Loki), monitoring (Prometheus, Grafana).
API development from $8,000, microservices from $20,000, third-party integrations from $2,500.
Top backend questions.
Depends on use case. Node.js for high-IO and real-time; Python/Django for data science, ML and classic web; Java for enterprise and strong typing. We help you pick during discovery.
REST is great for typical CRUD and cache-friendly scenarios. GraphQL shines with multiple clients (mobile + web) and deeply nested data graphs. Hybrid solutions are also fine.
Usually no. We start with a 1-2 week audit. The Strangler pattern with incremental modernization is typically faster and lower-risk than a rewrite.
When the team is > 15 engineers, deploy coupling becomes painful, or different parts need different scaling. Otherwise a well-structured monolith is usually better.
Yes. OpenAPI spec, architecture diagrams, deployment runbooks and a developer onboarding guide are part of every delivery.
Often shipped alongside backend work.
Discovery is free. We send a detailed proposal within 24 hours.