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# sort: 14
title: Anomaly Detection
title: VictoriaMetrics Anomaly Detection
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# Anomaly Detection
# VictoriaMetrics Anomaly Detection
In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, being a part of our [Enterprise offering](https://victoriametrics.com/products/enterprise/), stands as a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to not only detect anomalies but also minimize false positives, thus reducing alert fatigue. By providing simplified alerting mechanisms atop of [unified anomaly scores](/anomaly-detection/components/models/models.html#vmanomaly-output), it enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

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- /anomaly-detection/guides/guide-vmanomaly-vmalert.html
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# Getting started with vmanomaly

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1. [How to delete or replace metrics in VictoriaMetrics](guide-delete-or-replace-metrics.html)
1. [How to monitor kubernetes cluster using Managed VictoriaMetrics](/managed-victoriametrics/how-to-monitor-k8s.html)
1. [How to configure vmgateway for multi-tenant access using Grafana and OpenID Connect](grafana-vmgateway-openid-configuration.html)
1. [How to setup vmanomaly together with vmalert](guide-vmanomaly-vmalert.html)
1. [How to setup vmanomaly together with vmalert](/anomaly-detection/guides/guide-vmanomaly-vmalert.html)