Introduction Queues for Kafka - Apache Kafka QfK - One Platform for Event Streaming and Message Queues Consolidation
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When (Not) to Use Queues for Kafka?

Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now also supports native queuing, eliminating the need for separate message queue systems for backend integration and task processing. This blog explores how Kafka bridges the gap between stream processing and message queuing, when (not) to use QfK, and how it enables a unified cloud-native integration platform for modern enterprise architectures.
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Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
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Apache Kafka + MQTT = End-to-End IoT Integration (Code, Slides, Video)

MQTT and Apache Kafka are a perfect combination for end-to-end IoT integration from edge to data center. This post discusses two different approaches and refers to implementations on Github using Apache Kafka, Kafka Connect, Confluent MQTT Proxy and Mosquitto.
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Rapid Cloud Development with Spring Roo – Part 2: VMware Cloud Foundry

Spring Roo is a tool to offer rapid application development on the Java platform. It supports two solutions for Cloud Computing at the moment: Google App Engine (GAE) and VMware Cloud Foundry. Both provide the Platform as a Service (PaaS) concept. This article will discuss the Cloud Foundry support of Spring Roo. GAE was discussed in part 1 of this article series (https://www.kai-waehner.de/blog/2011/07/18/rapid-cloud-development-with-spring-roo-%E2%80%93-part-1-google-app-engine-gae).
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