Microservice Event-Driven
MicroservicesAdvancedOrg criticalDomain-driven microservices with event sourcing, CQRS-style analytics write path, and dead-letter isolation. Use when services must evolve independently with async integration.
Recommended for: Event-driven microservices
Use Case
Event-driven microservices, domain-driven design, CQRS
Best Fit Scenarios
- Event-driven microservices
- Domain-driven design
- CQRS
Stack Breakdown
Architecture Layers
Components by Category
backend
async
database
Why This Topology Works
Kafka event bus decouples domain services, enabling independent deployment and scaling. Each service owns its data. Dead letter queue prevents cascade failures.
Scaling Notes
Each microservice scales independently. Kafka partitioning by entity key ensures ordered processing. Auth service caches tokens in Redis.
Observability
Distributed tracing across service boundaries. Kafka consumer lag monitoring. Per-service error rate dashboards.
Typical Bottlenecks
- Service latency and timeout behavior on critical routes
- Queue lag, retry storms, and DLQ growth during incidents
- Write amplification and query contention on primary stores
Async Flow and Reliability
User-facing operations remain synchronous while long-running work moves through queues or streams. Workers consume jobs independently with retry and failure isolation, improving resilience under burst load.
Upgrade Path
Harden each domain with clear ownership, enforce SLO budgets, and adopt multi-region or active-passive failover where downtime costs are high.
Operating Envelope
Complexity is marked as Advanced with an intended scope of Org critical. Use this as a planning baseline before adapting the template to your reliability and team constraints.