Elastic has released Streams, an AI‑powered solution that automatically partitions and parses raw log data, extracting structured fields and surfacing critical errors, anomalies, and early warnings directly from context‑rich logs.
Streams is available immediately in Elastic Stack 9.2 (released October 23, 2025) and in Elastic Cloud Serverless, which has been generally available on AWS since December 2024. It runs on the Elasticsearch platform and leverages machine‑learning models trained on millions of log samples to identify signal in noise.
The product builds on Elastic’s existing data‑streaming capabilities, adding a unified intelligence layer that transforms unstructured logs into actionable insights. Ken Exner, Elastic’s chief product officer, said Streams “makes logs a most valuable asset by automatically finding the signal in the noise.”
Pricing follows Elastic’s subscription model: Streams is included in the Elastic Observability license at the Enterprise tier, with additional usage fees for high‑volume deployments. Early adopters such as a large cloud‑service provider reported a 40% reduction in time to root‑cause incidents after deploying Streams.
Streams is part of Elastic’s broader AI strategy, which also includes the Agent Builder (announced October 21, 2025) and the AI Assistant for Observability, both aimed at accelerating problem identification and resolution across the stack.
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