Interview with Jamie Grier
summary
Director at data Artisans describes building production Flink use at Twitter and then joining the company to push Flink forward, helping teams like Netflix and Uber platformize Flink as stream-processing-as-a-service. Describes concrete work: better monitoring/logging, API support for late data, features to handle extremely large state, and dynamic scaling that grows and shrinks task parallelism automatically. Recommends the Flink quickstart skeleton that runs in an IDE so teams can go from zero to running in minutes.
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