The document discusses the importance of distributing data across microservices, detailing various patterns like event notification and event sourcing. It highlights technologies used, particularly LeanIX and Azure, emphasizing their scalability and support. The document concludes with an overview of concepts related to event modeling, replay, and consistency.

1. #5 Distributed Data:
On Event Carried State Transfer
Per Bernhardt, Engineering Manager
30th June 2021

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@perprogramming

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Agenda
1. Why Distributing Data?
2. Patterns
3. Technologies
4. ECST @ LeanIX
5. Q & A

4. Why Distributing Data?

5. 5
Why Distributing Data?
Backend
Backend
Frontend
Frontend
Frontend
Service

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Why Distributing Data?
Backend
Frontend
Backend
Frontend
Backend
Frontend
Backend
Frontend

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Why Distributing Data?
https://de.slideshare.net/perprogramming/communication-in-a-microservice-architecture

8. Patterns

9. Event Notification
Event Carried State Transfer
Event Sourcing
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Patterns
https://martinfowler.com/articles/201701-event-driven.html

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Patterns – Event Notification
Service A Service B

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Patterns – Event Carried State Transfer
Service A Service B

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Patterns – Eventsourcing
Service A Service B

13. Technologies

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Technologies

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Technologies
• LeanIX ❤ Azure
• Good pricing
• Great documentation
• Scalable
• Fully managed
• SDK support in many languages

16. ECST @ LeanIX

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ECTS
@ LeanIX
1. Event Modelling
2. Replay
3. Event-Collector
4. Consistency

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ECTS @ LeanIX – Event Modelling

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ECTS @ LeanIX – Event Modelling

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ECTS @ LeanIX – Event Modelling

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ECTS @ LeanIX – Replay

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ECTS @ LeanIX – Event-Collector
Service A Service B New Service
Event-Collector
Azure Blob Storage

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ECTS @ LeanIX – Event-Collector

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ECTS @ LeanIX – Consistency

25. Q & A