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vmanomaly

Configure, operate, tune, and review VictoriaMetrics Anomaly Detection

63 on GitHubby VictoriaMetricsv1.3.1Apache-2.0updated yesterday
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Plugin vmanomaly from marketplace victoriametrics-tools in VictoriaMetrics/skills. Commands read from the repo's manifest — today.

What it installs

Skills (5)

  • vmanomaly-config

    Design, tune, validate, and test VictoriaMetrics vmanomaly configurations for known metrics or LogsQL queries. Use when choosing static alerting versus ML, selecting a vmanomaly model, configuring Temporal Envelope, building deployment YAML, tuning anomaly sensitivity, or creating VMAlert rules. Tri

  • vmanomaly-preset

    Discover a bounded set of VictoriaMetrics signals and assemble an evidence-backed vmanomaly preset with configuration, alert rules, dashboards and a selected deployment form. Use when the user needs anomaly detection but does not yet know the queries. Use vmanomaly-config for known queries and vmano

  • vmanomaly-query

    Operate VictoriaMetrics Anomaly Detection (vmanomaly) through its HTTP API. Use when checking health, versions, persisted-state compatibility, self-monitoring metrics, available models, model schemas, server queries, time-series characteristics, shared autotune, or asynchronous detection tasks. Also

  • vmanomaly-review

    Audit an existing VictoriaMetrics vmanomaly configuration against runtime capabilities and real data. Use when reviewing model-data fit, scheduler cadence, persisted-state compatibility, cold start, excessive detections, missing anomalies, output cardinality, or upgrade readiness. Trigger on vmanoma

  • vmanomaly-sizing

    Estimate vmanomaly deployment CPU, RAM and disk for a known workload, or approximate inference capacity for fixed resources. Use for deployment sizing, maximum active time-series questions, RAM-versus-disk comparisons, or suspected OOM during fitting. Not for forecasting a monitored metric's capacit

View source on GitHub victoriametrics.com

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