Kafka Streams' Take on Watermarks and Triggers | Confluent

What this post added

Introduces the `Suppress` operator for KTable in Kafka Streams, enabling controlled forwarding of updates. This operator allows for emitting only final results of windowed aggregations or rate-limiting updates, addressing use cases like alerting and integration with external systems that don't support continuous refinement. The post also clarifies the concept of window lifecycle and grace periods in Kafka Streams.