Microservice Architecture
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Microservices.io is brought to you by Chris Richardson. Experienced software architect, author of POJOs in Action and the creator of the original CloudFoundry.com. His latest startup is eventuate.io, a microservices application platform.
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Solving distributed data management problems in a microservice architecture
This is a talk that I gave the SFBay Area Microservices and Cloud Native Apps meetup.
In a microservice architecture, each service has a private datastore in order to ensure that the services are loosely coupled. While loose coupling is essential, this architecture makes managing transactions and querying difficult. You can’t use traditional distributed transactions. Nor can you use distributed queries. In this talk you will learn about some patterns for solving these problems: Sagas, API Composition and Command Query Responsibility Segregation (CQRS).
The patterns
Core patterns
Decomposition
Deployment patterns
- Multiple service instances per host
- Service instance per host
- Service instance per VM
- Service instance per Container
- Serverless deployment
- Service deployment platform
Cross cutting concerns
Communication style
External API
Service discovery
- Client-side discovery
- Server-side discovery
- Service registry
- Self registration
- 3rd party registration
Reliability
Data management
- Database per Service
- Shared database
- Saganew
- API Compositionnew
- CQRS
- Event sourcing
- Transaction log tailing
- Database triggers
- Application events
Security
Testing
Observability
- Log aggregation
- Application metrics
- Audit logging
- Distributed tracing
- Exception tracking
- Health check API
- Log deployments and changesnew
UI patterns