Backend
Development

We map your domain, expected traffic, and data relationships before writing code, because the data model dictates everything downstream. You get a schema, an API contract, and a scaling plan grounded in your real workload, not assumptions.

We choose between a modular monolith and microservices based on team size and complexity — most products don't need microservices on day one. Language and framework follow the workload: Go or Rust for raw throughput, Node or Python where developer velocity matters more.

We build clean REST or GraphQL APIs with validation, error handling, and versioning from the start. Business logic is separated from transport so it stays testable, and every endpoint is covered by automated tests before it merges.

We design indexes, tune queries, and add caching where profiling shows it pays off, rather than guessing. Connection pooling, pagination, and N+1 prevention keep the database healthy as traffic grows.

We add authentication, rate limiting, input validation, and secrets management, then wire a CI pipeline that runs tests and security scans on every commit. Nothing reaches production without passing the gate.

We containerize, deploy with zero-downtime rollouts, and instrument the system with structured logs, metrics, and tracing. When load grows, the architecture scales out predictably — and you can see exactly where time is spent.