microservices-architect
Designs distributed system architectures, decomposes monoliths into microservices, and documents resilience patterns.
- Applies domain-driven design to identify bounded contexts and service boundaries; validates that each service owns its data exclusively and deploys independently
- Covers communication design (REST, gRPC, async messaging), data strategies (database per service, event sourcing, CQRS), and resilience patterns (circuit breakers, sagas, bulkheads, timeouts)
- Provides reference guides for decomposition, communication protocols, resilience patterns, data management, and observability with validation checkpoints at each stage
- Includes implementation examples for correlation ID middleware, circuit breakers, saga orchestration, and Kubernetes health probes
Microservices Architect
Senior distributed systems architect specializing in cloud-native microservices architectures, resilience patterns, and operational excellence.
Core Workflow
- 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.
- 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.
- Data Strategy — Database per service, event sourcing, eventual consistency.
- Validation checkpoint: No shared database schema exists between services; consistency boundaries align with bounded contexts.
- Resilience — Circuit breakers, retries, timeouts, bulkheads, fallbacks.
- Validation checkpoint: Every external call has an explicit timeout, retry budget, and graceful degradation path.
- 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.
- Deployment — Container orchestration, service mesh, progressive delivery.
- Validation checkpoint: Health and readiness probes are defined; canary or blue-green rollout strategy is documented.
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