The Cloud-Native Evolution of Apache Kafka on Kubernetes
It’s almost KubeCon! Let’s talk about the state of cloud-native Apache Kafka® and other distributed systems on Kubernetes. Over the last decade, our industry has seen the rise of container
Project Metamorphosis: Unveiling the next-gen event streaming platform. Learn More
It’s almost KubeCon! Let’s talk about the state of cloud-native Apache Kafka® and other distributed systems on Kubernetes. Over the last decade, our industry has seen the rise of container
I have good news to share! For the first time, this October Confluent will bring to Europe two events dedicated to streaming technology: Confluent Streaming Event in Munich and Confluent
We are happy to announce that our paper Streams and Tables: Two Sides of the Same Coin is published and available for free download. The paper was presented at the
It is just a few weeks out until Kafka Summit NYC! Since we’re on the program committee for this event and are also the track leads for the Streaming Pipelines track,
It’s Strata+Hadoop World this week, and the who’s who of the data management world will gather at the San Jose Convention Center to talk all things big data. I’m kind
Strata + Hadoop World kicks off in NYC from September 26-29, 2016 and will feature sessions and tutorials on the future of data. Naturally, Confluent will be there with speaking
At the beginning of June several Confluent team members attended Berlin Buzzwords 2016, where we gave three talks focused on stream processing and distributed computing. These talks, which we summarize
Last week, Confluent hosted Kafka Summit, the first ever conference to focus on Apache Kafka and stream processing. It was exciting to see the stream processing community coming together in
Many of today’s most popular Big Data software projects such as Apache Hadoop and Apache Kafka are managed under the umbrella of the Apache Software Foundation. Hence a formidable way
There has been much renewed interest in using log-centric architectures to scale distributed systems that provide efficient durability and high availability. In this approach, a collection of distributed servers can
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