Confluent Blog

It is often difficult enough to build one application that talks to a single middleware or backend layer; e.g., a whole team of frontend engineers may build a web application

To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache

With so many technologies in the modern development ecosystem, a common complaint is having to go through the mental gymnastics of adopting new products and keeping up with ever-expanding feature

“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

Operating critical Apache Kafka® event streaming applications in production requires sound automation and engineering practices. Streaming applications are often at the center of your transaction processing and data systems, requiring

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

Over a year ago, Confluent set out on a mission to improve user experience by empowering developers, operators, and architects with intuitive command line interfaces (CLIs) for managing their Confluent

Measuring coverage of Go code is an easy task with the built-in go test tool, but for tests that run a binary, like end-to-end tests, there’s no obvious way to

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