Introduction
In a modern IT architecture in which events have to be processed and reliably distributed in real time, companies are increasingly turning to Apache Kafka – or its commercial variant Confluent Kafka.
An example: A globally active company wants to distribute status information from a system to several microservices with virtually no delay – including validation of the data formats via a schema registry.
The highlight: the data is to be processed and sent directly via Automic Automation.
What sounds simple in theory poses some challenges in practice – especially when connecting to Confluent Cloud.
