autosre is an open-source, OTel-native anomaly detection tool designed for SRE teams. It leverages AI to analyze observability data and detect operational anomalies, integrating seamlessly with OpenTelemetry workflows for improved reliability.
autosre sits in PulseGate's LLM eval & observability category. It focuses on detecting anomalies in observability data for SRE teams using AI-powered analysis. autosre is an open-source project aimed at SRE teams. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Phonotechnologies builds and maintains autosre, and the product first shipped in 2026. The project is developed in the open on GitHub with 10 commits in the last 90 days. Across PulseGate's embedding index, autosre has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are anomaly detection, openTelemetry integration, and observability. It exposes integrations via a public API.
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