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Confluent Blog
Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Building a Streaming Analytics Stack with Apache Kafka and Druid
One popular trend in the data world recently is the rise of stream analytics. Organizations are increasingly striving to build solutions that can provide immediate access to key business intelligence insights through real-time data exploration...
Kafka Connect Sink for PostgreSQL from JustOne Database
Introducing a Kafka Sink Connector for PostgreSQL from JustOne Database, Inc. JustOne Database is great at providing agile analytics against streaming data and Confluent is an ideal complementary platform for delivering those messages...
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | June 2016
After months of testing efforts and seven voting rounds, Apache Kafka 0.10.0 and the corresponding Confluent Platform 3.0 have been finally released, cheers!
Announcing Apache Kafka 0.10 and Confluent Platform 3.0
I am very excited to announce the availability of the 0.10 release of Apache Kafka and the 3.0 release of the Confluent Platform. This release marks the availability of Kafka […]
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 […]
Kafka Summit is Here
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. […]
Deploying Apache Kafka on AWS Elastic Block Store (EBS)
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 […]
How We Monitor and Run Kafka At Scale
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 […]
Join us for the Inaugural Stream Data Hackathon
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 […]
Hello World, Kafka Connect + Kafka Streams
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. […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | April 2016
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 […]
Announcing Confluent University: World-Class Apache Kafka Training
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 […]
Introducing Kafka Streams: Stream Processing Made Simple
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 […]
Log Compaction | Highlights in the Kafka and Stream Processing Community | March 2016
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 […]