Log Compaction | Kafka Summit Edition | May 2016
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
Project Metamorphosis: Unveiling the next-gen event streaming platform. Learn More
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
We at Confluent are pleased to announce that the inaugural Kafka Summit, the first global summit of the Apache Kafka community, is happening today at the Hilton in San Francisco.
Apache Kafka is designed to be highly performant, reliable, scalable, and fault tolerant. At the same time, the performance and reliability of a Kafka cluster is highly dependent on the
This post was written by guest blogger Rajiv Kurian from SignalFx. SignalFx is a member of the Confluent partner program. Rajiv is a software engineer with over five years experience building
I’m happy to announce that Confluent will be hosting the first Stream Data Hackathon this April 25th in San Francisco! Apache Kafka has recently introduced two new major features: Kafka
Important: The information in this article is outdated. With recent Kafka versions the integration between Kafka Connect and Kafka Streams as well as KSQL has become much simpler and easier.
The Apache Kafka community was crazy-busy last month. We released a technical preview of Kafka Streams and then voted on a release plan for Kafka 0.10.0. We accelerated the discussion
I’m pleased to announce the launch of Confluent University: world-class Apache Kafka training now available both onsite and at public venues. Although we’ve been offering onsite training to our customers
I’m really excited to announce a major new feature in Apache Kafka v0.10: Kafka’s Streams API. The Streams API, available as a Java library that is part of the official
It was another productive month in the Apache Kafka community. Many of the KIPs that were under active discussion in the last Log Compaction were implemented, reviewed, and merged into
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