Скачать или смотреть scala.bythebay.io: Jamie Grier, Robust Stateful Stream Processing with Apache Flink

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Scale By the Bay 2019 is held on November 13-15 in sunny Oakland, California, on the shores of Lake Merritt: https://scale.bythebay.io. Join us!
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Jamie Grier will give a talk and hands-on demonstration of some of the advanced features available in Apache Flink. The talk will focus on features unique to Flink that allow one to achieve truly robust stateful computation over data streams. Topics covered will be: * Event Time vs Processing Time and why it matters * Robust handling of state * Handling failures * Handling code or cluster upgrades without losing state * Apache Flink's Savepoints * Handling data re-processing (after code changes, bug fixes, etc)


Jamie Grier
data Artisans
Director of Applications Engineering
San Francisco, CA
Twitter Tweet Websitetwitter.com/jamiegrier
Jamie Grier is now Director of Applications Engineering at data Artisans where he’s extremely excited to be able to help others realize the potential of Flink in their own projects. His goal is to help others design systems to solve challenging problems in the real world.

Jamie has been working in the field of streaming computation for the last decade. This has spanned everything from ultra high ­performance video stream acquisition and processing to social media analytics.

Prior to joining data Artisans, Jamie was at Twitter working on rethinking the realtime analytics stack with the goals of making it much more efficient and also capable of computing accurate results in real­time without relying on the “Lambda Architecture” for correctness. Before Twitter Jamie was one of the lead engineers at Gnip building their social media streaming, filtering and delivery system and before that was the lead engineer at Boulder Imaging working on systems that could ingest and process greater than 1 GB/sec of streaming video on a single machine.

Jamie is interested in streaming computation and mechanically sympathetic software architectures. He is particularly interested in building systems that are both high performance and highly scalable and his favorite quote is “You can have a second computer once you’ve shown you know how to use the first one”.