Confluent Blog

Apache Kafka is widely used to enable a number of data intensive operations from collecting log data for analysis to acting as a storage layer for large scale real-time stream […]

Previously, I posted about the Kafka REST Proxy from Confluent, which provides easy access to a Kafka cluster from any language. That post focused on the motivation, low-level examples, and […]

This post has been written in collaboration with Derrick Harris from Mesosphere and Joe Stein, a Kafka committer. For an updated version of this article, please see Apache Mesos, Apache Kafka and […]

It is my pleasure to announce that Confluent has raised a Series B funding of $24M, led by Index Ventures and joined by our Series A investor, Benchmark. Mike Volpi […]

Building operational simplicity into distributed systems, especially for nuanced behaviors, is somewhat of an art and often best achieved after gathering production experience. Apache Kafka‘s popularity can be attributed in […]

This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current […]

Some of us from Confluent will be speaking at QCon NYC next week about Apache Kafka and Confluent’s stream data platform. Here are some things to look forward to from […]

This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.

The rise in schema-free and document-oriented databases has led some to question the value and necessity of schemas. Schemas, in particular those following the relational model, can seem too restrictive, […]

Testing is one of the hardest parts of building reliable distributed systems. Kafka has long had a set of system tests that cover distributed operation but this is an area […]