Getting value out of data means transformation in real-time, and coding your #Kafka Streams app is just the first step in a long journey. Then you need to package that app, deploy it, manage that connection to #apachekafka, set it up with monitoring and alerting, govern it and troubleshoot it if issues pop up.

In this Kafka Live Stream, we show you a way to significantly simplify this route by demonstrating why and how you can create Dead Letter Queues in Kafka with Lenses Streaming SQL for stream processing.