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55 lines
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4 KiB
Markdown
---
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# sort: 14
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title: VictoriaMetrics Anomaly Detection
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weight: 0
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aliases:
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- /anomaly-detection.html
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- /vmanomaly.html
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---
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# VictoriaMetrics Anomaly Detection
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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.html#vmanomaly-output), it enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.
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## Practical Guides and Installation
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Begin your VictoriaMetrics Anomaly Detection journey with ease using our guides and installation instructions:
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- **Overview**: Find out how `vmanomaly` service operates [here](/anomaly-detection/overview.html)
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- **Integration**: Integrate anomaly detection into your observability ecosystem. Get started [**here**](/anomaly-detection/guides/guide-vmanomaly-vmalert.html).
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- **Installation Options**: Select the method that aligns with your technical requirements:
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- **Docker Installation**: Suitable for containerized environments. See [Docker guide](/anomaly-detection/overview#run-vmanomaly-docker-container).
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- **Helm Chart Installation**: Appropriate for those using Kubernetes. See our [Helm charts](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly).
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> Note: starting from [v1.5.0](./CHANGELOG.md#v150) `vmanomaly` requires a [license key](/anomaly-detection/overview#licensing) to run. You can obtain a trial license key [**here**](https://victoriametrics.com/products/enterprise/trial/index.html).
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## Key Components
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Explore the integral components that configure VictoriaMetrics Anomaly Detection:
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* [Explore components and their interation](/anomaly-detection/components)
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- [Models](/anomaly-detection/components/models.html)
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- [Reader](/anomaly-detection/components/reader.html)
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- [Scheduler](/anomaly-detection/components/scheduler.html)
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- [Writer](/anomaly-detection/components/writer.html)
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- [Monitoring](/anomaly-detection/components/monitoring.html)
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## Deep Dive into Anomaly Detection
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Enhance your knowledge with our handbook on Anomaly Detection & Root Cause Analysis and stay updated:
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* Anomaly Detection Handbook
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- [Introduction to Time Series Anomaly Detection](https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-1/)
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- [Types of Anomalies in Time Series Data](https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-2/)
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- [Techniques and Models for Anomaly Detection](https://victoriametrics.com/blog/victoriametrics-anomaly-detection-handbook-chapter-3/)
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* Follow the [`#anomaly-detection`](https://victoriametrics.com/blog/tags/anomaly-detection/) tag in our blog
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## Frequently Asked Questions (FAQ)
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Got questions about VictoriaMetrics Anomaly Detection? Chances are, we've got the answers ready for you.
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Dive into [our FAQ section](/anomaly-detection/FAQ.html) to find responses to common questions.
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## Get in Touch
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We're eager to connect with you and tailor our solutions to your specific needs. Here's how you can engage with us:
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* [Book a Demo](https://calendly.com/victoriametrics-anomaly-detection) to discover what our product can do.
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* Interested in exploring our [Enterprise features](https://victoriametrics.com/products/enterprise), including Anomaly Detection? [Request your trial license](https://victoriametrics.com/products/enterprise/trial/) today and take the first step towards advanced system observability.
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---
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Our [CHANGELOG is just a click away](./CHANGELOG.md), keeping you informed about the latest updates and enhancements. |