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) - 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:
*Confluent Training and Certification discounts!*
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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)
See all- IN PERSON! Perth Apache Kafka® x Apache Flink® Meetup (September 2024)The Shoe Bar and Cafe, Perth
Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on September 25th 5:30 PM, at The Shoe Bar in Perth!
The address, agenda, and speaker information can be found below. See you there!
📍Venue:
The Shoe Bar
Shop GSO7 Yagan Square, 376 - 420 Wellington St, Perth WA 6050, Australia***
🗓 Agenda:- 5:30pm: Doors open
- 5:30pm - 6:00pm: Food, Drinks, and Networking
- 6:00pm - 6:30pm: Adi Polak, Director of Advocacy and Developer Experience Engineering, Confluent
- 6:30pm - 7:00pm: Phil Wild, Manager, Customer Success Technical Architect, APAC, Confluent
- 7:00pm - 7:30pm: Additional Q&A & Networking
***
💡 Speaker:
Adi Polak, Director of Advocacy and Developer Experience Engineering, ConfluentBio:
Adi is an experienced software engineer and people manager. For most of her professional life, she dealt with data and machine learning for transactional and analytics workloads by building large-scale systems. As a data practitioner, she developed software to solve real-world problems with Apache Spark, Kafka, HDFS, K8s, AWS, and Azure in high-throughput, high-scale production environments for companies like Akamai and Microsoft. Adi has taught Spark to thousands of students throughout the years and is the author of the successful book — Scaling Machine Learning with Spark. When not thinking up new architecture, teaching new tech or pondering on a distributed systems challenge, you can find her at the local cultural scene.Talk:
Data-centric AI with Flink SQLAbstract:
Generative AI is revolutionizing the technology stack, introducing a new era of innovation and automation. Apache Flink is keeping up with this revolution through FLIP-437, which introduces AI models as first-class citizens in Flink SQL, on par with Tables, seamlessly integrating them into the existing resource hierarchy (Catalog->Database->Model). This groundbreaking advancement paves the way for unified data processing and model inference using the familiar SQL interface and positions Flink as a central piece of modern AI architectures..
In this 30-minute session, tailored for developers with experience in stream processing, we’ll start by exploring the rationale behind Flink’s decision to treat AI models as first-class entities within Flink SQL. We’ll then delve into the newly introduced ML_PREDICT and ML_EVALUATE functions, which enable a generic way for model inference and evaluation using Flink SQL. Finally, we’ll demonstrate how to leverage the powerful combination of Flink and Kafka to create an anomaly detection app that harnesses real-time data streams.
By the end of the session, attendees will understand how they can write an end-to-end data app with seamless AI inference integration using **just****** Flink SQL.-----
💡 Speaker:
Phil Wild, Manager, Customer Success Technical Architect, APAC, ConfluentBio:
TBCTalk:
Deploying Kafka in the cloud and why you need to think about the networking.Abstract:
So you've decided to build your own Kafka cluster in the cloud. You want to make it resilient so you're probably going to deploy brokers in multiple availability zones. Do you understand the impact of this? Any idea what this is going to cost? Let's walk through what happens at the networking layer so you can better understand the decisions you need to make to manage the costs.
***
DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 18.***
If you would like to speak or host our next event please let us know! community@confluent.io