We decompose monoliths into resilient, independently deployable services and design the APIs that connect them. From contract-first REST and GraphQL to event-driven choreography and service mesh, we build distributed systems that scale by team and by service.
Six disciplines that turn one brittle codebase into a fleet of small, observable services, and the well-governed APIs that let them collaborate.
Strangler-fig migrations that carve bounded contexts out of legacy monoliths, incrementally, with zero big-bang risk.
Contract-first REST, GraphQL, and gRPC with OpenAPI specs, style guides, and versioning that keeps consumers stable.
Centralized auth, rate limiting, request shaping, and analytics through Kong, Apigee, or AWS API Gateway.
Asynchronous choreography with Kafka and pub/sub, event sourcing, CQRS, and the saga pattern for distributed consistency.
Istio and Linkerd with circuit breakers, retries, and timeouts so a single failing service never cascades.
Sync and async messaging, service discovery, and backward-compatible contracts that let teams ship independently.
We don't force one style on every problem. Each service boundary gets the protocol that fits its latency, coupling, and consumer needs.
Stateless, cacheable HTTP APIs that any client can consume. We design clean resource models, predictable status codes, and HATEOAS where it earns its keep.
1GET /api/v2/orders/88212Accept: application/json4200 OK5{ "id": 8821, "status": "shipped" }
A disciplined path that decomposes safely, contracts first, and ships each service on its own clock, without a risky rewrite.
Domain-driven design workshops map your business into bounded contexts, so service boundaries follow ownership, not org charts.
Contract-first specs in OpenAPI and Protobuf become the source of truth, generating stubs, mocks, and docs before code is written.
Small, single-responsibility services built on a shared template, each with its own datastore, pipeline, and deploy cadence.
Sync calls through the gateway, async flows over the event bus, and service discovery wired into a managed mesh.
Consumer-driven contract tests, fault injection, and chaos experiments prove the system degrades gracefully under failure.
Progressive delivery with canaries, plus distributed tracing that follows a single request across every hop.
Done right, microservices aren't complexity for its own sake, they buy you speed, resilience, and the freedom for every team to move at its own pace.
Independent deploys mean a fix ships in minutes, no coordinated release train holding every team hostage.
Circuit breakers, bulkheads, and timeouts isolate faults so one struggling service never takes down the system.
Scale only the hot path instead of the whole app, cutting infrastructure waste and cloud spend.
Distributed tracing stitches a single request across every hop, so root cause is minutes away, not days.
Each team picks the language, framework, and datastore that fits its service, without forcing a monoculture.
Versioned, consumer-tested API contracts let teams upgrade on their own schedule with zero breaking surprises.
From risky monoliths to clean, observable service fleets, here is what the right architecture unlocked.
Monolith DecompositionUsing a strangler-fig approach, we peeled checkout, catalog, and fulfillment out of a decade-old monolith one bounded context at a time. New services shipped behind the existing API while the legacy core kept serving traffic, so the business never paused.
API PlatformA governed API gateway with OAuth2, rate limiting, and a developer portal turned core banking into a partner-ready product.
Event-Driven ArchitectureEvent sourcing and CQRS replaced nightly batch jobs, giving customers live tracking and the ops team an auditable history.
Start with an architecture audit. We'll map your bounded contexts, score your API maturity, and lay out a safe, incremental path to a service mesh.