We design and build backend systems and APIs that are fast, secure, and maintainable — from a single REST endpoint to a full microservices architecture serving millions of requests per day.
Discuss your projectWe define the API contract (OpenAPI or GraphQL schema) before writing implementation code. This gives frontend teams, mobile teams, and integration partners a stable interface to develop against in parallel — cutting delivery time significantly on multi-team projects.
Contract testing (via Pact or OpenAPI validators) ensures that API changes don't silently break consumers. Breaking changes go through a versioning and deprecation cycle, not a hot-swap.
We derive microservice boundaries from domain analysis, not technical layers. Each service owns its data, exposes a well-defined interface, and is deployable independently. We resist the urge to split services prematurely — a well-structured monolith is better than a distributed monolith.
Inter-service communication follows the same principles: synchronous (gRPC/REST) for queries requiring immediate responses; asynchronous (Kafka/RabbitMQ) for events that can tolerate eventual consistency.
Authentication and authorisation are handled at the API gateway — JWT verification, rate limiting, and IP allow-listing before a request reaches any service. Each service enforces its own authorisation policies (RBAC or ABAC) using trusted claims from the gateway, never raw tokens.
Migrations are versioned, reversible, and run in CI before deployment. Schema changes that risk locking (adding a NOT NULL column to a large table) are broken into safe multi-step operations. We use online schema change tools (pt-online-schema-change, pg_repack) where table locks are unacceptable.
We run event-storming sessions with your domain experts to identify entities, commands, and events. This produces the bounded context map before any database is designed.
OpenAPI spec or GraphQL schema is written and reviewed before any implementation. Clients can start integration against a mock server immediately.
Unit tests written alongside implementation. Integration tests verify database interactions and external service contracts. No feature ships without a corresponding test.
We run query profiling (EXPLAIN ANALYZE) and API response time benchmarks on realistic data volumes before any production deployment.
New API versions run alongside the old. Traffic shifts gradually with automated rollback if error rate exceeds threshold. Zero downtime, zero risk.
We use Pact for consumer-driven contract tests and OpenAPI validators in CI. Any response that diverges from the published schema fails the build — before it reaches review or deployment.
Test containers spin up a real database, Redis, and message broker for each CI run. Integration tests verify actual database behaviour, not mocked repositories — catching constraint violations, deadlocks, and query performance issues that unit tests miss.
OWASP top 10 review on every new endpoint. Automated SAST in CI (static analysis). Dependency vulnerability scanning on every build. Annual penetration test by a separate team.
k6 scripts simulate realistic API traffic patterns (mix of read-heavy and write-heavy paths). We verify response time at p50/p95/p99 and watch for connection pool exhaustion and memory growth under sustained load.
Whether it's a greenfield API, a migration, or an integration challenge — let's talk through the problem and the right approach.