Confluent Blog

Confluent Platform is the central nervous system for a business, uniting your organization around a Kafka-based single source of truth. Apache Kafka® has been in production at thousands of companies […]

Mission critical applications built on Kafka need a robust and Kafka-specific monitoring solution that is performant, scalable, durable, highly available, and secure. Confluent Control Center helps monitor your Kafka deployments […]

I am very excited to announce the general availability of Confluent Platform 4.0, the enterprise distribution of Apache Kafka 1.0. This release includes a number of significant improvements, including enhancements […]

Datacenter downtime and data loss can result in businesses losing a vast amount of revenue or entirely halting operations. To minimize the downtime and data loss resulting from a disaster, […]

Confluent Platform and Apache Kafka® have come a long way from the time of their origin story. Like superheroes finding out they have powers, the latest updates always seem to […]

This is a guest blog post by Stephane Maarek. Stephane is an IT consultant at Simple Machines. You can check his GitHub or connect with him on LinkedIn. If you use Apache Kafka […]

Wir freuen uns, das Release von von Confluent 3.2, unserer auf Apache Kafka basierenden Streaming-Plattform für Unternehmen, bekannt geben zu dürfen. Wir bei Confluent legen Wert darauf, Unternehmen eine umfassende, gebrauchsfertige Streaming-Plattform anbieten zu können, die [...]

Letzten November haben wir Confluent 3.1 mit neuen Connectors, Clients und Unternehmensfunktionen veröffentlicht. Heute freuen wir uns, die Veröffentlichung von Confluent 3.1.2 bekannt geben zu dürfen: Das neue Patch-Release umfasst die aktuelle stabile Version […]

Seems that many engineers have “Learn Kafka” on their new year resolution list. This isn’t very surprising. Apache Kafka is a popular technology with many use-cases. Armed with basic Kafka […]

One of the most common pain points we hear is around managing the flow and placement of data between datacenters. Almost every Apache Kafka user eventually ends up with clusters […]