Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
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Pith papers citing it
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cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
TORAI finds fine-grained root causes in microservice failures with blind spots by measuring anomaly severity from multi-source telemetry, clustering services by symptoms, ranking via causal analysis within clusters, and aggregating with hypothesis testing.
citing papers explorer
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Gleaner: A Semantically-Rich and Efficient Online Sampler for Microservice Diagnostics
Gleaner replaces slow graph-based trace analysis with bag-of-edges set operations plus log semantics and alarm-driven diversity to deliver faster, higher-fidelity sampling that improves RCA accuracy even at 1% rates.
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TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph
TORAI finds fine-grained root causes in microservice failures with blind spots by measuring anomaly severity from multi-source telemetry, clustering services by symptoms, ranking via causal analysis within clusters, and aggregating with hypothesis testing.