TLDR Tech / IT
When NOT to Use Stream Processing: Messaging and APIs Are Often Enough
While valuable for continuous event-driven computation, stream processing is often unsuitable for request-response interactions, direct state queries, corrections, or tasks requiring locks. Examples include Kestra rebuilding its messaging layer with plain queuing and Confluent migrating Control Center's metrics pipeline from Kafka Streams to Prometheus.
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