Confluent Blog

In May, we introduced our first enterprise-focused feature, Confluent Control Center, with the 3.0 release of Confluent. Today, more than 35% of the Fortune 500 companies use Kafka for mission-critical

Amazon’s AWS cloud is doing really well. Doing well to the tune of making $2.57 Billion in Q1 2016. That’s 64% up from Q1 last year. Clearly a lot of

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

It is September and it’s evident that everyone is back from their summer vacation! We released Apache Kafka 0.10.0.1 which includes fixes of the bugs in the 0.10.0 release. In

This guest post is written by Andrew Stevenson, CTO at DataMountaineer. Andrew focuses on providing real-time data pipelines allowing reactive decision making, streaming analytics and big data integration. He has

Event sourcing as an application architecture pattern is rising in popularity. Event sourcing involves modeling the state changes made by applications as an immutable sequence or “log” of events. Instead

A few months ago, we announced the release of open-source Confluent Platform 3.0 and Apache Kafka 0.10, marking the availability of Kafka Streams — the new stream processing engine of

This blog post is written jointly by Stephan Ewen, CTO of data Artisans, and Neha Narkhede, CTO of Confluent. Stephan Ewen is PMC member of Apache Flink and co-founder and CTO

Most people think that what’s exciting about distributed systems is the ability to support really big applications. When you read a blog about a new distributed database, it usually talks

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.