Interview
summary
Describes building a new type of data store at Iterable that solves historically naggy scaling problems by using clever architecture and a Scala stack, specifically Scala Akka Streams Kafka, plus Elastic for indexing. Shares concrete practices for keeping data processed in order at web scale, shows tradeoffs and when the techniques work, and explains how types and monads are applied to make parallel and reactive data pipelines simpler and more maintainable.
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