Cracking marketing automation with Reactive Streams
summary
HomeAway replaces manual Excel uploads with production streaming feeds that push property updates to multiple ad platforms, using Reactive Streams backpressure to avoid out‑of‑memory failure and keep throughput high. The implementation uses Akka Streams pipeline to ad partners, stitches data from APIs, databases and Kafka, runs as always‑on resilient apps, and negotiates per‑consumer rates instead of blind buffering. The chosen stack proves interoperable, scalable, and easier to maintain than hand‑rolled reactive code.
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chapters (5)
- 0:00Introduction
- 0:43The problem
- 3:20What are reactive streams
- 8:39Why Scala
- 11:11Reactive Streams on the wire
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