About us
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!*
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
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Data Streaming x AI
IBM, Rua Tutóia, 1157 Vila Mariana, São Paulo, BRJoin us for a Data Streaming x AI Meetup in Sao Paulo from 6:00pm hosted by IBM and supported by Intelium!
Venue:
IBM
R. Tutóia, 1157 - Vila Mariana, São Paulo - SP, 04007-900IMPORTANT PLEASE REGISTER WITH YOUR DETAILS FOR SECURITY PURPOSES.
Agenda:
- 6:00pm: Doors open
- 6:00pm – 6:30pm: Food/Drinks and networking
- 6:30pm - 7:30pm: Talk 1 (Mateus Oliveira)
- 7:30pm - 8:30pm: Talk 2 (Victor Grudtner)
Speaker 1
* Name/Title: Mateus Oliveira — Data Architect, Intelium.ai* Speaker Bio (EN): Mateus Oliveira is a Data Architect at Intelium.ai, specialising in real-time data systems and streaming architectures. With hands-on experience across the Apache Kafka, Apache Flink, and real-time analytics ecosystem, he has been driving the adoption of streaming-first approaches across the LATAM data engineering community.
* Speaker Bio (PT-BR): Mateus Oliveira é Arquiteto de Dados na Intelium.ai, especializado em sistemas de dados em tempo real e arquiteturas de streaming. Com experiência prática no ecossistema Apache Kafka, Apache Flink e analíticos em tempo real, tem liderado a adoção de abordagens streaming-first na comunidade de engenharia de dados da América Latina.* Title of Talk (EN): AI Meets Streaming — What Does It Actually Look Like in Practice?
* Title of Talk (PT-BR): Como trabalhar com AI em Streaming* Abstract (EN): The promise of combining AI and real-time data is everywhere. But what does it actually look like when you sit down to build it? In this talk, Mateus explores the intersection of AI and data streaming from a practitioner’s perspective — covering how modern teams are embedding machine learning models into streaming pipelines, running real-time inference with tools like Apache Kafka and Flink, and building feedback loops that make AI systems smarter over time. Expect honest takes on the challenges (latency, data quality, model drift) and practical patterns you can bring back to your team the next day.
* Abstract (PT-BR): A promessa de combinar IA e dados em tempo real está em todo lugar. Mas como é isso na prática, quando você senta para construir? Nesta palestra, Mateus explora a interseção entre inteligência artificial e streaming de dados sob a perspectiva de quem constriói — abordando como times modernos estão integrando modelos de machine learning em pipelines de streaming, rodando inferência em tempo real com Apache Kafka e Flink, e criando loops de feedback que tornam os sistemas de IA mais inteligentes ao longo do tempo. Espere uma visão honesta sobre os desafios (latência, qualidade de dados, model drift) e padrões práticos que você pode levar para o seu time no dia seguinte.
* Duration of talk: 60 minutes (including Q&A)Speaker 2
* Name/Title: Victor Grudtner — Principal Engineer* Speaker Bio (EN): Victor Grudtner specialises in designing and implementing Big Data solutions for real-time processing and streaming, optimising performance and scalability using open-source technologies. He has delivered technical training for engineering teams and brings both national and international experience building robust Kafka environments across a range of industries.
* Speaker Bio (PT-BR): Victor Grudtner é especialista em projetar e implementar soluções de Big Data para processamento em tempo real e streaming, otimizando desempenho e escalabilidade com tecnologias open-source. Conduziu treinamentos técnicos para equipes de engenharia e possui experiência nacional e internacional na construção de ambientes Kafka robustos em diferentes segmentos de mercado.* Title of Talk (EN): Apache Flink in the Real World — Patterns, Pitfalls, and Lessons Learned
* Title of Talk (PT-BR): Apache Flink no dia a dia* Abstract (EN): Apache Flink is one of the most powerful stream processing frameworks available today — but running it in production is a different story from running it in a tutorial. In this talk, Victor draws from hands-on experience to walk through the real day-to-day of working with Flink: how to structure stateful applications, what to watch out for when scaling, how to handle failure gracefully, and which patterns actually hold up under production load. Whether you’re evaluating Flink for the first time or already running it in your stack, you’ll leave with concrete, actionable insights.
* Abstract (PT-BR): O Apache Flink é um dos frameworks de processamento de streams mais poderosos disponíveis hoje — mas rodá-lo em produção é uma história bem diferente de rodá-lo num tutorial. Nesta palestra, Victor compartilha experiência prática sobre o dia a dia real com Flink: como estruturar aplicações stateful, o que observar ao escalar, como lidar com falhas de forma resiliente e quais padrões realmente se sustentam sob carga de produção. Se você está avaliando o Flink pela primeira vez ou já o utiliza no seu stack, vai sair com insights concretos e acionáveis.* Duration of talk: 60 minutes (including Q&A)
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If you are interested in speaking at or hosting a meetup, please email community@confluent.io52 attendees
Past events
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