AI Microservices Architecture Workflow
Designing microservices requires careful decisions about service boundaries, data ownership, and communication patterns. This workflow helps you make those decisions systematically, avoiding the common pitfalls that turn microservices into distributed monoliths.
Workflow Steps
Define Service Boundaries
Use domain-driven design principles to identify the right boundaries for your services.
Why Claude: Claude applies DDD principles thoughtfully and warns against over-decomposition.
Design API Contracts
Define the APIs between services, including sync vs async communication patterns.
Why DeepSeek: DeepSeek designs precise API contracts with careful attention to edge cases and failure modes.
Plan Data Architecture
Design data ownership, storage choices, and consistency patterns across services.
Why Claude: Claude navigates complex data consistency tradeoffs and proposes practical patterns.
Create Deployment & Observability Plan
Plan how services will be deployed, scaled, and monitored independently.
Why ChatGPT: ChatGPT provides practical deployment configs and monitoring setups with working examples.
Run This Workflow with Council
Query multiple AI models at once to compare results at each step. See which AI handles each part of the workflow best.
Try Council Free