Practical CQRS and Event Sourcing on Azure

on YouTube ↗46m

" summary

A practical implementation of CQRS + Event Sourcing on Azure using Azure Table Storage as the event store (with a separate streams table and version numbers), a dispatcher that builds JSON projections, and optional Azure Service Bus and Cosmos DB integration. The production smart‑meter deployment shows handling hundreds of thousands to millions of events by using snapshots to reduce replay and partition keys for scale, while accepting tradeoffs like no cross‑stream transactions, eventual consistency, careful partitioning, and avoiding storing PII (or protecting it via encryption/separate stores).

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" chapters (15)

1. 0:00CQRS and Event Sourcing intro
2. 1:18Energy metering challenges
3. 2:21Smart meters opportunities
4. 5:51Traditional DB limits
5. 7:36Event Sourcing principles
6. 10:26CQRS with Event Sourcing
7. 16:31Storage solution choice
8. 21:16Scaling with Azure Table
9. 26:11Partition performance
10. 29:49Real-time projections
11. 32:17Microservices event integration
12. 35:54Change feed for updates
13. 37:41Data privacy compliance
14. 40:10Implementation frameworks
15. 41:54Summary and Q&A

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