Microservices Data Patterns
Microservices data patterns manage data when each service owns its own store but a business process or read needs information from several services. They replace shared database transactions and joins with explicit workflows, messages, and read models.
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Intro
Microservices Data Patterns
Database per service preserves service autonomy: each service controls its schema and data access. It also removes shared database joins and transactions as integration tools. A multi-service design must state how business work progresses, how related data is read, and what happens when one step fails.
Own data locally
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Sources
- https://microservices.io/patterns/data/database-per-service.html
Supports
- Data ownership
- distributed transactions
- API composition
- and CQRS
- https://microservices.io/patterns/data/saga.html
Supports
- Saga local transactions
- coordination
- and compensation
- https://microservices.io/patterns/data/transactional-outbox.html
Supports
- Atomic local state and event record publication
- https://microservices.io/patterns/data/cqrs.html
Supports
- Materialized views and separate query models
