Confluent Blog

Millions of developers code on GitHub, and if you’re one of those developers using it to create Apache Kafka® applications—for which there are 70,000+ Kafka-related repositories—it is natural to integrate

Real-time data streaming necessitates a new way to think about modern data system design. In the keynote at Kafka Summit London 2022, Confluent CEO Jay Kreps described five principles of

Imagine your team wants to design a data streaming architecture and you’re in charge of creating the prototype. Within a few minutes, you provision a fully managed Apache Kafka® cluster

Some call it a challenge. Others call it a community. Whatever you call it, 100 Days Of Code is a bunch of fun and a great learning experience that helps

Soon, Apache Kafka® will no longer need ZooKeeper! With KIP-500, Kafka will include its own built-in consensus layer, removing the ZooKeeper dependency altogether. The next big milestone in this effort

Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas

As described in the blog post Apache Kafka® Needs No Keeper: Removing the Apache ZooKeeper Dependency, when KIP-500 lands next year, Apache Kafka will replace its usage of Apache ZooKeeper

If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths

Building a Cloud ETL Pipeline on Confluent Cloud shows you how to build and deploy a data pipeline entirely in the cloud. However, not all databases can be in the

As enterprises move more and more of their applications to the cloud, they are also moving their on-prem ETL pipelines to the cloud, as well as building new ones. There