Which backend language do you recommend?

Node.js for full stack JavaScript teams, Python for data heavy and AI applications, Java/.NET for enterprise systems. We choose based on your existing team skills and project requirements.

Do you build microservices?

Yes. We design and build microservices architectures with proper service boundaries, API gateways, event driven communication, and distributed tracing.

How do you handle API design?

We follow REST best practices with OpenAPI specifications. For complex real time needs, we use GraphQL. Every API includes versioning, rate limiting, and comprehensive documentation.

Monolith or microservices, which should we start with for a new backend?

Start with a well-structured monolith unless you have a specific reason not to. A monolith is simpler to develop, deploy, monitor, and debug, and most teams discover their real service boundaries only after running the system in production for a year. We design the monolith with clear internal module boundaries so individual services can be carved out later when load patterns or team structure actually demand it. Premature microservices usually become distributed monoliths with worse latency and harder debugging.

How do you handle authentication and authorization at production scale?

Authentication through a proven provider like Auth0, Clerk, AWS Cognito, or a self-hosted Keycloak instance, never hand-rolled. Authorization through role-based or attribute-based access control with rules expressed in code that can be unit-tested, not buried in middleware. For multi-tenant systems we enforce tenant isolation at the database layer using row-level security or per-tenant schemas, so an auth bug cannot leak data across tenants. Audit logs capture every privileged action by user, resource, and timestamp.

Backend

GraphQL

A query language for APIs and a runtime for fulfilling those queries — flexible and efficient.

Use Cases

API gateway

Our team has deep expertise building api gateway with GraphQL.

Mobile APIs

Our team has deep expertise building mobile apis with GraphQL.

Real-time subscriptions

Our team has deep expertise building real-time subscriptions with GraphQL.

BFF pattern

Our team has deep expertise building bff pattern with GraphQL.

Questions? We've Got Answers

Your GraphQL vs REST Questions, Answered.

Direct answers on the scenarios where GraphQL pays off, where REST stays the right default, and when production systems use both.

Featured Answer

When does GraphQL actually beat REST for a new API?

GraphQL wins in three scenarios. APIs serving multiple frontends like web, mobile, and third-party apps that each need different data shapes, where REST over-fetching becomes significant. Applications where the schema-driven type system meaningfully accelerates frontend development. Projects benefiting from real-time subscriptions integrated with the same API. REST often wins for public APIs, simpler internal services, and scenarios where HTTP-layer caching matters. Many production systems use both, with REST for stable public endpoints and GraphQL for the application own frontend.

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