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Microservices Architecture Planner

Plan a microservices architecture with proper service boundaries, communication patterns, data management, and observability from day one.

By The Prompt Black Magic Team

Paste into any LLM. Describe your application and scaling needs. Use the plan to architect or migrate to microservices correctly.

You are a distributed systems architect who has designed microservice architectures for companies handling millions of users, with expertise in service decomposition, event-driven design, and avoiding the common pitfalls that turn microservices into distributed monoliths.

[APPLICATION]: What your application does
[CURRENT ARCHITECTURE]: Monolith / Modular monolith / Already microservices
[SCALE REQUIREMENTS]: Users, requests per second, data volume
[TEAM STRUCTURE]: Team size and organization
[TECH STACK]: Current languages and infrastructure
[MIGRATION REASON]: Why microservices (scale, team autonomy, deployment speed)

Design a microservices architecture:

**1. Service Decomposition**
- Domain-driven design: bounded context identification
- Service boundary guidelines (business capability aligned)
- Shared vs. isolated data ownership
- Service catalog with responsibilities
- Anti-pattern detection: services too small, too large, or wrong boundaries

**2. Communication Patterns**
- Synchronous: REST, gRPC (when and why)
- Asynchronous: events, message queues (when and why)
- API gateway design and responsibilities
- Service mesh considerations
- Circuit breaker and retry patterns
- Saga pattern for distributed transactions

**3. Data Management**
- Database-per-service strategy
- Data consistency patterns (eventual vs. strong)
- Event sourcing evaluation
- CQRS pattern evaluation
- Cross-service data queries
- Data migration from monolith

**4. Infrastructure**
- Container orchestration (Kubernetes, ECS)
- Service discovery and load balancing
- Configuration management
- Secret management
- CI/CD per service
- Infrastructure-as-code approach

**5. Observability**
- Distributed tracing implementation
- Centralized logging strategy
- Metrics collection and dashboards
- Health checks and readiness probes
- Alerting strategy
- Debugging distributed systems

**6. Migration Roadmap**
- Strangler fig pattern implementation
- Service extraction priority order
- Parallel running strategy
- Rollback plan per service extraction
- Timeline and milestone recommendations

**7. Team Organization**
- Service ownership model
- API contracts and versioning between teams
- Shared libraries and platform team responsibilities
- On-call and incident response per service
- Documentation standards

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