Data Strategies for Microservice Architectures

[ Presented together with Edson Yanaga at Microservices Day Atlanta, January 23, 2018
https://www.redhat.com/en/events/red-hat-microservices-day-atlanta#event-tab-1 ]

Transcript

1. Data Strategies for Microservice Architectures Edson Yanaga Director of Developer Experience @yanaga Marius Bogoevici Chief Architect, Data Streaming @mariusbogoevici
2. Code is easy, state is hard
3. POJOs as an (Anemic) Domain Model
4. ‘Traditional’ application design
5. Applying Domain Driven Design
6. Persistent Data
7. Strategy: One Database per Microservice
8. Virtualization: where physical separation is hard
9. Volatile data: caching and sharing state
10. Reducing latency via caching
11. Sharing state - replication and partitioning
12. Propagating state change: Event Sourcing & CDC
13. Communication: synchronous/asynchronous 1: ship 2: update state 3: update state update state update state OrderCreated
14. Event Sourcing OrderCreated Id: 1 OrderUpdated Id: 1 OrderCreated Id: 2
15. Change Data Capture
16. CQS (Command-Query Separation)
17. “Asking a question should not change the answer” (Bertrand Meyer)
18. CQRS (Command Query Responsibility Segregation)
19. Join developers.redhat.com 19 CQRS (Command Query Responsibility Segregation)
20. Join developers.redhat.com 2 0 CQRS with separate data stores
21. CQRS & Event Sourcing
22. Why CQRS?
23. Performance
24. Distribution Availability Integration Analytics
25. Join developers.redhat.com 2 5 Canonical Source of Information (Write Data Store)
26. Join developers.redhat.com 26 Canonical Source of Information (Write Data Store) Read Data Store Read Data Store
27. Join developers.redhat.com 27 Canonical Source of Information (Write Data Store) Read Data Store Read Data Store Events Events
28. Different choices of technology depending on the requirements
29. Latency Size Staleness Ownership Security Type?
30. Join developers.redhat.com 30 http://infinispan.org/ In-memory Data Grids
31. Join developers.redhat.com 31 http://teiid.jboss.org/ Data Virtualization
32. Join developers.redhat.com 32 http://debezium.io/ Change Data Capture
33. Join developers.redhat.com Feedback welcome! @mariusbogoevici @yanaga
34. plus.google.com/+RedHat linkedin.com/company/red-hat youtube.com/user/RedHatVideos facebook.com/redhatinc twitter.com/RedHatNews Thank you!