התחל במצב לא מקוון עם האפליקציה Player FM !
Serverless Event Streaming Applications as Functions on K8 (DoK Day EU 2022) // Timothy Spann
Manage episode 329958507 series 2865115
https://go.dok.community/slack
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
243 פרקים
Manage episode 329958507 series 2865115
https://go.dok.community/slack
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
243 פרקים
Todos os episódios
×ברוכים הבאים אל Player FM!
Player FM סורק את האינטרנט עבור פודקאסטים באיכות גבוהה בשבילכם כדי שתהנו מהם כרגע. זה יישום הפודקאסט הטוב ביותר והוא עובד על אנדרואיד, iPhone ואינטרנט. הירשמו לסנכרון מנויים במכשירים שונים.