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Serverless Event Streaming Applications as Functions on K8 (DoK Day EU 2022) // Timothy Spann

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Manage episode 329958507 series 2865115
Inhoud geleverd door Data on Kubernetes Community. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data on Kubernetes Community of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

https://go.dok.community/slack

https://dok.community/

From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

We will walk through how to build serverless event streaming applications as functions running in a function mesh on kubernetes with cloud native messaging via Apache Pulsar.

In this talk, you will deploy ML functions to transform real-time data on Kubernets.

Tim Spann is a Developer Advocate @ StreamNative where he works with Apache Pulsar, Apache Flink, Apache NiFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.

https://www.datainmotion.dev/p/about-me.html

https://dzone.com/users/297029/bunkertor.html

https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/speaker/185963

  continue reading

243 afleveringen

Artwork
iconDelen
 
Manage episode 329958507 series 2865115
Inhoud geleverd door Data on Kubernetes Community. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data on Kubernetes Community of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

https://go.dok.community/slack

https://dok.community/

From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)

We will walk through how to build serverless event streaming applications as functions running in a function mesh on kubernetes with cloud native messaging via Apache Pulsar.

In this talk, you will deploy ML functions to transform real-time data on Kubernets.

Tim Spann is a Developer Advocate @ StreamNative where he works with Apache Pulsar, Apache Flink, Apache NiFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming. Previously, he was a Principal Field Engineer at Cloudera, a Senior Solutions Architect at AirisData and a senior field engineer at Pivotal. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton on big data, the IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as IoT Fusion, Strata, ApacheCon, Data Works Summit Berlin, DataWorks Summit Sydney, and Oracle Code NYC. He holds a BS and MS in computer science.

https://www.datainmotion.dev/p/about-me.html

https://dzone.com/users/297029/bunkertor.html

https://conferences.oreilly.com/strata/strata-ny-2018/public/schedule/speaker/185963

  continue reading

243 afleveringen

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