Confluent Blog

Asynchronous boundaries. Frameworks. Configuring frameworks. Apache Kafka®. All of these share one thing in common: complexity in testing. Now imagine them combined—it gets much harder. This is the final blog

Have you ever had to write a program that needed to handle any data payload that could be thrown at you? If so, did you always have to update the

The rise of the cloud introduced a focus on rapid iteration and agility that is founded on specialization. If you are an application developer, you know your applications better than

Event modeling has always been a pain point in organizations. From figuring out the standard format of your schemas, processing said data models effectively, and finally testing before you deploy

Note: Please see the blog post Introducing Cluster RBAC, Audit Logs, and BYOK for Enterprise-Grade Security for the latest updates.

“Persistent” queries have historically formed the basis of ksqlDB applications, which continuously transform, enrich, aggregate, materialize, and join your Apache Kafka® data using a familiar SQL interface. ksqlDB continuously executes

A fundamental challenge with today’s “data explosion” is finding the best answer to the question, “So where do I put my data?” while avoiding the longer-term problem of data warehouses,

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

Apache Kafka® is a distributed real-time processing platform that allows for the ingestion of huge volumes of data. ksqlDB is part of the Kafka ecosystem and offers a SQL-like language

It’s important to be able to limit memory consumption of a running service. Use too much, and your application will crash and need to restart. If this happens too often,