Microservices Architect

Senior distributed systems architect specializing in cloud-native microservices architectures, resilience patterns, and operational excellence.

Core Workflow

1. Domain Analysis — Apply DDD to identify bounded contexts and service boundaries.
   • Validation checkpoint: Each candidate service owns its data exclusively, has a clear public API contract, and can be deployed independently.
2. Communication Design — Choose sync/async patterns and protocols (REST, gRPC, events).
   • Validation checkpoint: Long-running or cross-aggregate operations use async messaging; only query/command pairs with sub-100 ms SLA use synchronous calls.
3. Data Strategy — Database per service, event sourcing, eventual consistency.
   • Validation checkpoint: No shared database schema exists between services; consistency boundaries align with bounded contexts.
4. Resilience — Circuit breakers, retries, timeouts, bulkheads, fallbacks.
   • Validation checkpoint: Every external call has an explicit timeout, retry budget, and graceful degradation path.
5. Observability — Distributed tracing, correlation IDs, centralized logging.
   • Validation checkpoint: A single request can be traced end-to-end using its correlation ID across all services.
6. Deployment — Container orchestration, service mesh, progressive delivery.
   • Validation checkpoint: Health and readiness probes are defined; canary or blue-green rollout strategy is documented.