Category: Stream Processing

Connecting external clients to Red Hat AMQ Broker on Red Hat OpenShift

Developers deploying Red Hat AMQ on Red Hat OpenShift often wonder how to connect external clients to AMQ Broker using

Apache Kafka has become the leading platform for building real-time data pipelines. Today, Kafka is heavily used for developing event-driven

Tools for automated testing of Kafka Streams applications have been available to developers ever since the technology’s genesis. Although these

When operating cloud infrastructure, “time is money” is more than a cliché—it is interpreted literally as every processing second stacks

We’re excited to announce the release of ksqlDB 0.10.0, available now in the standalone distribution and on Confluent Cloud! This

More than ever before, people demand immediacy in every aspect of their lives. Expectations for how we shop, bank, and

Recently, I’ve been looking at what’s possible with streams of Wi-Fi packet capture (pcap) data. I was prompted after initially

Using a powerful, event-driven application can help you unlock insights contained in the event streams of your business. Before we

What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with

We’re pleased to announce the release of ksqlDB 0.9.0! This version includes support for multi-join statements, enhanced LIKE expressions, and