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