Project Metamorphosis: Wir präsentieren die Event-Streaming-Plattform der nächsten Generation. Mehr erfahren
The Kafka Summit Program Committee recently published the schedule for the San Francisco event, and there’s quite a bit to look forward to.
For starters, it is a two-day event, which means we get to attend 14 talks, miss out on 42 talks (that we’ll later watch on video), and spend two days hanging out with our favorite community friends.
While the keynotes have not been announced yet (they will be soon!), there are quite a few exciting talks that are not to be missed. Of course, this is entirely personal—depending on your role, interests, and the different ways you use Apache Kafka®, you’ll find different talks exciting—and this is basically the reason there are four tracks.
Interests evolve over time too. I remember two to three years back, I spent all my time listening to talks about various ETL architectures in the Pipelines track. Last year, I attended mostly sessions about event-driven microservices, and this year, I’m especially interested in talks about running Kafka at scale and internals—good thing there are many of those!
Here is just a sample of the talks I’m especially looking forward to:
I could have gone on and on—there are so many good options, but lists can be overwhelming. I’ll be speaking at the event too and would love to see you there. You can register for Kafka Summit San Francisco using the code Gwen30 to get 30% off and take a look at the full agenda. Don’t forget to share your picks in the comments and on social media using #kafkasummit.
Gwen Shapira is a software engineer on the Core Kafka Team at Confluent. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of “Kafka—The Definitive Guide” and “Hadoop Application Architectures,” and a frequent presenter at industry conferences. Gwen is a PMC member on the Apache Kafka project and a committer on Apache Sqoop. When Gwen isn’t building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
Subscribe to the Confluent blog