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Realtime Computation with Storm
 

Realtime Computation with Storm

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Storm is a distributed realtime computation system. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime ...

Storm is a distributed realtime computation system. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation. Storm is simple, can be used with any programming language, and is a lot of fun to use!

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  • C - Best accessible distributed realtime computation system going\nA - Learn about and start using Storm\nB - You will get a great new tool in your technology stack - interesting uses\n
  • CEP - continuous\n\nNot HFT-grade\n\n
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  • scaling is painful\npoor fault tolerance\ncoding is hard\n
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  • tweets stock ticks manufacturing machine data sensor messages\n
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  • DAG\n\nruns continuously\n
  • abstractions like Cascading, Hive, Pig make MR approachable\n\ncode size reduction\n
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  • kestrel - via thrift\nkafka - transactional topologies, idempotentcy, process only once\nactivemq\n
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  • current architecture\n\ndata ingest tool for hadoop (avoid Flume madness)\n
  • new architecture\n
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  • Trending Topics (stream processing of the firehose)\ncomputing the ‘reach’ of a URL (Dist RPC)\n
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  • Android devices, sampling geo every 5 seconds\nroute optimization\nroad tax reduction\nidle alerts\n
  • C - Exciting times, much like Hadoop/NoSQL beginning\nA - Start tinkering with Storm, integrate into your workflows\nB - be more responsive in turning data into information\n

Realtime Computation with Storm Realtime Computation with Storm Presentation Transcript