Typical microservices outbox pattern implementation requires developers to manually create the outbox event table and write the codes to send the data from the outbox table to the respective messaging platform. Debezium Outbox Event Router together with Outbox Quarkus Extension take cares of this and enforce a standard approach to do this with declarative implementation. This allows the developers to focus on business logic implementation and achieve faster application delivery.
When come to performance load testing tool, people usually think of Apache JMeter; open source, widely supported and free. JMeter with total control, flexibility and user friendliness make the perfect choice for load testing. This should be the same for load testing Apache Kafka on container platform such as OpenShift Container Platform. Let's look at how we can use JMeter to perform Kafka load testing on OpenShift.
Creating your own version of container image for Kafka Connect for OpenShift is pretty straightforward with simple few steps as outlined in this article.
Red Hat Fuse is base on Apache Camel, an open source project to allow developers to implement integration services quickly and easily. This article and the demo asset demonstrate one possible way of how to implement the integration service using Red Hat Fuse. With the enriched list of technology and components brought by Camel, you may find a different way to implement the same solution. This is where the EIP (Enterprise Integration Pattern) is in placed to ensure however the developer is implementing the integration, it will be ensured the developers are following the best practices outlined by the EIP. With the nature and flexibility of Camel integration approaches, we also see how easy it is for us to implement endpoints integration, message marshalling and unmarshalling, and most importantly how we can embrace reusability allowing us to bring our solution to market faster.
