Rise of the Kafka Heroes! Join the Data Streaming Revolution | Read the Comic
A huge number of people have been hard at work to make today happen. Our speakers have been writing presentations and preparing to teach their audiences about new Apache Kafka® features and new production use cases. A huge event team and venue staff are up early getting ready for the day. It would be fair to say we’re excited for the day!
Last night started with a pre-Summit gathering of committers and members of the Apache Kafka community on the 46th floor of the Hilton.
We’ll be live streaming the keynotes starting at 9:00 am PDT. We’ve got three talks queued up this morning: one by Confluent co-founder and CTO, Neha Narkhede; one by Stitch Fix’s VP of Engineering, Randy Shoup; and one by Salseforce’s own Pat Helland. Jump on the YouTube live stream to see what’s new in the world of Kafka and get fresh insights into how to build the next-generation distributed systems you were probably working on just before the live stream started. If you can’t make it to the Summit itself, I know you’ll appreciate watching those three talks live. Trust me.
And if you are here today, keep these awesome things in mind:
If you can’t make it today, rest assured that video of all 32 talks—on topics like stream processing, production use cases, internals, and more, all given by real-life practitioners and global experts—will be available in a few weeks. And if you are here, don’t forget to download the mobile app for real-time updates throughout the day. Then just sit back and enjoy the show! We’re thrilled to be here with you.
Today, use of data streaming technologies has become table stakes for businesses. But with data streaming technologies, patterns, and best practices continuing to mature, it’s imperative for businesses to stay on top of what’s new and next in the world of data streaming.
When I say summer, you say… beach, popsicles, and camping.
And this summer, I went camping (albeit virtually) with Camp Confluent—a three-week (July 10-28) immersive learning experience focused on all things data streaming.