What we're about

New to Apache Kafka®? Start with these free resources: https://cnfl.io/learn-ak-mu

This is an open community - if you want to present, host or contribute in other ways follow this link (http://cnfl.io/get-involved-mu (https://www.confluent.io/community/get-involved/)) - first time speakers welcome!

This meetup is for your fellow event streaming enthusiasts!

The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!

Code of conduct: https://cnfl.io/code-of-conduct-welcome

Beyond this group, we also have the following resources to help you learn and develop your skills! See them here:

*The Meetup Hub*

Find recordings of previous meetups around the world and see upcoming dates for many more at the Meetup Hub

https://cnfl.io/meetup-hub-desc

*Ask The Community:*

-Forum;

This is a place for all the community to ask the tough questions, share knowledge and win badges :D http://cnfl.io/forum-desc

-Slack;

Join tens of thousands of community members in this community cross-collaboration tool, exchanging thousands of messages every month:

cnfl.io/slack

*Confluent Community Catalysts*

Nominate the next Community Catalysts (MVPs) and find out more here:

https://cnfl.io/nominate-desc

*Confluent Training and Certification discounts!*

Learn Apache Kafka® and become Confluent Certified (with 20% off your certification exam with the code MU2021CERT): https://cnfl.io/train-cert

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Also here’s a gift: Get $200 worth of free Confluent Cloud usage every month for your first 3 months; (that could be $600 worth, without spending a single penny) (Ts & Cs apply) http://cnfl.io/mu-try-cloud

If you’re already a user, you can get an extra $60 on top with the code: CC60COMM

Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!

Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or at any of our Meetups.

Upcoming events (1)

Using DJL to Deploy a Pre-Trained Deep Learning Model from Apache Kafka®

Find out about other upcoming online meetups and recordings from past Kafka Meetups all over the world: cnfl.io/meetup-hub

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*Time below in Central time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=6%2C100%2C8&h=100&sts=26912160&sln=22-23&a=show

Agenda:
4:00pm-4:05pm: Online Networking
4:05pm-4:50pm: Lai Wei, AWS + Stanislav Kirdey, Netflix (Q&A included)
4:50pm: Log in or Join our Forum (forum.confluent.io) to ask any follow up questions!

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Speakers: Lai Wei, AWS + Stanislav Kirdey, Netflix

Talk: Using DJL to deploy a pre-trained deep learning model directly from Apache Kafka®

Abstract: Leading streaming users such as Netflix and Amazon music use open source library DJL to deploy deep learning models directly from Scala-based streaming applications. Deep Java Library (djl) is an open source library designed to let you build and deploy AI models within the Java/Scala ecosystem. In this talk, we will give a high-level overview of DJL architecture and main features. Then we will show how data engineers with minimum data science experience can make use of the latest and greatest open source AI models by using DJL to deploy a pre-trained deep learning model directly from Kafka. We can end with a customer story (Netflix) on deploying pre-trained deep learning models from streaming applications for real-time and large scale inference.

Bios:
Lai Wei is a Software Engineer with AWS Deep Learning team. He is focusing on building easy to use, high-performance and scalable deep learning frameworks for engineers and data scientists. Outside of work, he enjoys spending time with his son, hiking, and skiing.

Stanislav Kirdey works at Netflix where he focuses on large-scale, applied machine learning in the areas of NLP, search, and anomaly detection. Outside of machine learning and work, Stanislav is obsessed with RuPaul’s Drag Race, POSE, and Star Trek.

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Online Meetup Etiquette:
•Please unmute yourself when you have a question.
•Please hold your questions until the end of the presentation or use the zoomchat!
•Please arrive on time as zoom meetings can become locked for many reasons (though if you get locked out a recording will be available, but you may have to wait a little while for it!

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If you would like to speak or host our next event please let us know! [masked]

Past events (22)

Photos (3)

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