Kafka Streams’ Take on Watermarks and Triggers

The Kafka Streams data processing engine has introduced a new feature called `Suppress` that allows developers to fine-tune the timing of KTable updates, enabling more precise control over data processing pipelines. This feature is designed to support use cases where non-retractable side effects are required, such as sending emails or committing resources, and provides strong guarantees about when exactly it forwards KTable updates downstream. The `Suppress` operator can be used to rate-limit just one KTable output or callback, effectively controlling the flow of updates in specific parts of an application. It also allows for the final results of a windowed aggregation to be emitted, making it easier to build alerts and other non-retractable side effects.

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