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#bbuzz: Streaming, Fast and Slow

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#bbuzz: Streaming, Fast and Slow
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48
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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What if you were given 2 weeks to prepare for running your first marathon, and had to be able to keep up with the fastest runner? This is the story of a small team that jumped head first into building a top tier stream processing (Apache Flink) service on a tight timeline, and how they prepared for being able to keep up with the fastest components. This talk will be of interest to those who want to build larger, more complex stream processing applications (and quickly), but will also benefit anyone who is looking to adopt a new streaming technology (or use it in a way that is new to their company), at any scale. Other takeaways include pragmatic steps to leverage unique Flink features to more effectively solve common, real world data streaming problems.