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Have you ever heard about AMQ Streams? It is a Kafka Platform based on Apache Kafka and powered by Red Hat. A big advantage of AMQ Streams is that as all Red Hat tools, it is open source.
This article's about a common feature of Apache Kafka, called Kafka Connect. I'll explain how it works with OpenShift.
In this article, we provide a brief tutorial on how to clear the cache memoryIdempotentRepository in an Apache Camel Application.
The Enterprise Integration Pattern (EIP) IdempotentConsumer implemented by Apache Camel filters out duplicate exchange messages. This process requires cache. Camel implements different kinds of cache, such as the MemoryIdempotentRepository [1].
Take any integration project and you have multiple applications talking over multiple transports on multiple platforms. As you can imagine, in large enterprises, applications like this can get complex very fast. Much of the complexity stems from two issues:
Making your applications speak transports and APIs is relatively easy on its own. I'm sure everyone knows how to send JMS messages to their broker of choice; though it still requires in-depth knowledge of the JMS specification, which many developers may not have. On top of that, what happens when you want to route that JMS message to another application? You then have to take care of mapping the JMS message to the application plus handle any new concepts related to the application. Add a dozen other applications into the mix and you've got quite a headache on your hands.