API strategy & contracts
Set API standards for naming, versioning, authorization, errors, compatibility and ownership before teams publish new interfaces.
Gromnii designs service and API architectures that make systems composable and easier to evolve.
Use API and microservices engineering when applications need stable interfaces, independent service boundaries or reliable event exchange across teams and systems. The architecture should define contracts, ownership, authentication, versioning and failure behavior before services multiply.
Set API standards for naming, versioning, authorization, errors, compatibility and ownership before teams publish new interfaces.
Split services where ownership, change rate, scale or failure isolation justify the extra operational boundary.
Verify people, services and devices with controls appropriate to the sensitivity of the resource and the risk of the requested action.
Use events where services need asynchronous coordination, defining event ownership, schemas, ordering, replay and idempotency so consumers can recover safely.
Track API versions, request rates, latency, errors and dependency health so consumers can migrate safely and service regressions are visible before they spread.
Version contracts deliberately, avoid breaking field and behavior changes where consumers cannot migrate together, and provide deprecation windows with usage evidence.
Protect APIs with service identity, scoped authorization, input validation, secret handling and dependency controls that match the sensitivity of the exposed operation.
Set quotas and burst controls by consumer and operation so one caller cannot exhaust shared capacity, with explicit behavior when limits are reached.
Use timeouts, retries, circuit breaking and bounded queues so one slow dependency does not consume resources across the entire service chain.
This reference shows one possible API and Microservices Engineering arrangement. The actual design depends on the systems, constraints and controls involved.
Expose clear contracts between applications and services so internal changes do not unnecessarily break dependent systems.
Separate workloads where deployment, scaling or ownership genuinely differ instead of coupling every change to one application release.
Use authentication, idempotency, rate limits, retries and observability so API failures are controlled rather than hidden.
Describe what API and Microservices Engineering should change, the systems it must work with and the constraints that matter.