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 (2)

GO NORTH - A Kafka Adventure Game

Online event

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 Singapore time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=1880252&h=1880252&sts=27205440&sln=18-19&a=show

Agenda:
18:00pm-18:05pm: Introduction & Online Networking
18:05pm-18:50pm: Kris Jenkins, Sr Developer Advocate, Confluent
18:50pm: Q&A
Have follow-up questions afterward? Log in to Slack or Join our Forum (https://www.confluent.io/community/ask-the-community) to ask any follow-up questions!

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Speaker:
Kris Jenkins, Sr Developer Advocate, Confluent

Bio:
Kris Jenkins is the former CTO of a gold-trading company, contractor for a number of internet startups, and now Developer Advocate at Confluent. He enjoys anything that makes system architecture simpler and more reliable (like functional programming and event-based systems), and anything that puts the fun back into coding (like meetups, hackathons, and playing with new technology).

Talk:
GO NORTH - A Kafka Adventure Game

Abstract:
Apache Kafka® is used by many video gaming companies to manage and
analyse live data from their players, handling billions of events
across dozens of countries every day. But none of them have thrown
caution to the wind and used Kafka as their core game engine.

In this talk we'll revisit the quintessential video game, the
Text-Based Adventure, and implement as much of it as we can in pure
Kafka. We may not break the Steam sales records, but along the way
we'll learn a lot about the building blocks of event systems, some
interesting ksqlDB tricks, and get a glimpse of how many different
needs a good event store can satisfy: data collection, processing &
enrichment, analytics, real-time reporting and more.

The source code will be available online afterwards, but if your boss
catches you building an MMO on the corporate server, we take no
responsibility.

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Online Meetup Etiquette:
• Please hold your questions until the end of the presentation or use the zoom chat during!
• 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!)

Important note: If Zoom asks for a password to join please use 'kafka'

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

Apache Kafka® and Machine Learning

Online event

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 Hong Kong time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=1819729&h=1819729&sts=27214080&sln=18-19&a=show

Agenda:
18:00pm-18:05pm: Introduction & Online Networking
18:05pm-18:50pm: Jeffrey Lam, Staff Solutions Engineer, Confluent
18:50pm: Q&A
Have follow-up questions afterward? Log in to Slack or Join our Forum (https://www.confluent.io/community/ask-the-community) to ask any follow-up questions!

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Speaker:
Jeffrey Lam, Staff Solutions Engineer, Confluent

Bio:
Jeffrey Lam is a Staff Solutions Engineer from Confluent. He is big data specialist, pre-sales and enterprise architect with 20+ year experience with global technology leaders, namely Confluent, Splunk, ServiceNow, IBM and Oracle. Jeffrey has solid consulting skills, able to drive technology thought leadership at C-level in multiple disciplines such as big data strategy, MLOps, cloud, and enterprise architecture solutions.

Talk:
Apache Kafka® and Machine Learning

Abstract:
AI/Machine learning and Apache Kafka® are a great combination for training, serving, and monitoring analytic models in real-time. In this session we will cover:
- How are Kafka and Machine Learning related?
- How can they be combined to speed up the Machine Learning lifecycle and real-time analytics at scale?
- How does it compare to and collaborate with other real-time platforms such as Spark?

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Online Meetup Etiquette:
• Please hold your questions until the end of the presentation or use the zoom chat during!
• 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!)

Important note: If Zoom asks for a password to join please use 'kafka'

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

Photos (5)

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