The Rise of Reactive Microservices

on YouTube ↗47m

" summary

Argues that microservices move from synchronous calls to event-centric persistence and push‑based streams (Kafka, Pulsar, CDC via Kafka Connect), with concrete patterns: publish user and transaction events, build local projections (hydrated read models) and scale by sharding (by country/user group) plus Kafka Streams or Flink for processing. Gives numbers and tradeoffs: 93% of mobile banking use cases are balance/transactions, eventual consistency splits into divergence/variance/latency and is mitigated by partition ordering, idempotency/dedup, and optimistic UIs.

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" chapters (13)

1. 0:00Introduction
2. 1:43Microservices and reactive programming
3. 6:16Reactive programming with streams
4. 11:15Synchronous microservices challenges
5. 15:31Message-driven microservices resilience
6. 18:21Entity service anti-pattern and DDD
7. 23:58Reactive data streams for autonomy
8. 32:59Eventual consistency trade-offs
9. 35:47Banking architecture with reactive microservices
10. 41:42Sharded stream-based scalability
11. 43:47Microservices evolution and costs
12. 44:27Summary
13. 44:47Q&A

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