Tools tagged with this label.
Built-in anomaly (outlier) detection for AWS CloudWatch metrics to create adaptive baselines and alarms.
Cloud-native observability platform for large-scale metrics with strong alerting and operational insights.
Observability platform with ML-based anomaly detection for metrics, logs, and application performance signals.
Open-source anomaly detection plugin for time-series data in OpenSearch with alerting integration.
AIOps and observability platform with automatic baselining, anomaly detection, and root-cause analysis.
Python toolbox for scalable outlier and anomaly detection algorithms (classical and ML-based).
Anomaly detection and incident intelligence on top of New Relic telemetry to reduce alert noise and speed triage.
Open-source Python library for time-series intelligence with strong anomaly detection and forecasting modules.
Service intelligence platform with KPI-based monitoring, anomaly detection, and AIOps capabilities.
Machine-learning-driven dynamic thresholds for alerts to detect anomalies without manual static limits.