Microservices architecture breaks a monolithic application into independently deployable services, each owning its own data and business logic. This template provides a cloud-agnostic diagram showing an API gateway, multiple bounded-context services, inter-service communication (sync and async), service discovery, and per-service databases. It is designed to help teams document their microservices topology or plan a decomposition strategy.
Core Principles of Microservices
Microservices follow several key principles: single responsibility (each service does one thing well), independent deployability (services can be deployed without affecting others), decentralized data management (each service owns its database), and smart endpoints with dumb pipes (services contain the logic, messaging infrastructure is simple). This template visualizes these principles in a concrete architecture.
Communication Patterns
The diagram illustrates both synchronous and asynchronous communication between services.
- Synchronous: REST or gRPC calls through the API gateway or directly between services
- Asynchronous: Event bus or message broker for eventual consistency and decoupled processing
- Service Mesh: Optional sidecar proxy layer for observability, retries, and mTLS
Data Management Strategies
Each service in the diagram has its own database (database-per-service pattern). This prevents tight coupling through shared databases but introduces challenges like distributed transactions. The template shows how services can use events to maintain data consistency across boundaries, following the saga pattern or event sourcing.
Observability and Resilience
The template includes nodes for centralized logging, distributed tracing, and health checks. These cross-cutting concerns are essential for operating microservices at scale and diagnosing issues across service boundaries.