Technology
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.
Data Reprocessing with the Streams API in Kafka: Resetting a Streams Application
This blog post is the third in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10.
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | August 2016
It is August already, and this marks exactly one year of monthly “Log Compaction” blog posts – summarizing news from the very active Apache Kafka and stream processing community. Hope […]
Secure Stream Processing with the Streams API in Kafka
This blog post is the second in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10. Current […]
Elastic Scaling in the Streams API in Kafka
This blog post is the first in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10. Current […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | July 2016
Here comes the July 2016 edition of Log Compaction, a monthly digest of highlights in the Apache Kafka and stream processing community. Want to share some exciting news on this […]
Build and monitor Kafka pipelines with Confluent Control Center
On May 24, we announced Confluent Control Center, an application for managing and monitoring a Kafka-based streaming platform. Control Center has a beautiful user interface, and under the surface we […]
Distributed, Real-time Joins and Aggregations on User Activity Events using Kafka Streams
In previous blog posts we introduced Kafka Streams and demonstrated an end-to-end Hello World streaming application that analyzes Wikipedia real-time updates through a combination of Kafka Streams and Kafka Connect. […]
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 […]
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 […]