~/talk

PREVIEW: Event-Driven Services with Stateful Streams

Talkat Kafka Summit San Francisco 2017 · on Monday, 2017-08-28· [microservices]
slides:none on file

Makes the concrete claim that you can build stateful, request‑response capable services on top of stream processing rather than separate databases, using Kafka Streams and Confluent tooling to stitch data islands into an event‑sourced joined‑up view. Walks through patterns—orders, stock, basket services with per‑service databases—shows receiver-driven flow control to avoid tight point‑to‑point coupling, and argues these patterns reduce coupling while enabling independent deployability and operational transparency.

AI-written summary · about

  1. 0:00Start
  2. 0:07Microservice are an evolution
  3. 0:34Apply the Single Responsibility Principal
  4. 2:14When it comes to data, microservices promote independence
  5. 3:2620. Microservices 30 - What's next?
  6. 3:52Loose Coupling • Data Enabled
  7. 4:18A measure of the assumptions two services make doout one another when they exchange information
  8. 4:47Leverage Receiver Driver Flow Control
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