DBTB INT Zack Loebel Begelman
summary
Credit Karma analytics team deals with billion+ event datasets and tries to pipeline them with Akka tech but discovers a concrete failure: a homegrown streaming layer built without actors fails expectations. Core claim: don't roll your own Akka Streams — use Akka actors for low latency or Akka Streams for high throughput. The team actually built a custom stream system, measured poor latency/throughput, and switches to the standard actor/stream primitives.
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