| name | microservices-design |
| description | Design service boundaries, contracts, and failure modes for distributed systems |
| difficulty | staff |
| domains | ["general"] |
Overview
Microservices solve a people problem (independent team deployments) while creating a technical problem (distributed systems complexity). This skill only adds microservices when they solve a real problem, and designs them to be independently deployable, failure-isolated, and observable.
When to Use
- Before splitting a monolith into services
- When designing a new service in an existing distributed system
- When services are tightly coupled in ways that prevent independent deployment
Process
Step 1: Justify the split
A service split is justified when: teams are blocked on each other's deployments, scaling requirements differ dramatically, or technology requirements differ. Don't split for "separation of concerns" alone — a module achieves that at lower cost.
Step 2: Define service boundaries by business capability
Services should own a business capability end-to-end. Don't split by technical layer (don't make a "user data service" that stores data for 10 other services).
Step 3: Design the interface contract
Services communicate via explicit contracts. Define the contract before implementation. Version it from day one.
Step 4: Choose communication style
- Sync (HTTP/gRPC): Use when caller needs the result immediately
- Async (messaging): Use when caller does not need immediate result; decouples availability
Async is better for resilience; sync is simpler to reason about. Choose based on the requirement.
Step 5: Design for failure isolation
Service A must not fail because Service B is slow or unavailable:
- Timeouts on all outbound calls
- Circuit breakers for repeated failures
- Fallback responses or graceful degradation
- Bulkhead pattern: don't let one failing downstream exhaust connection pools
Step 6: Distributed data
Each service owns its data store. No shared databases. Services that need data from another service: use the API, or replicate via events. Cross-service joins are a design smell.
Step 7: Distributed tracing
All services propagate trace IDs. You must be able to trace a request across all services it touches.
Verification Requirements