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### Describe Your Changes Please provide a brief description of the changes you made. Be as specific as possible to help others understand the purpose and impact of your modifications. ### Checklist The following checks are **mandatory**: - [x] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/). fixes #7579 7579
51 lines
5.4 KiB
Markdown
51 lines
5.4 KiB
Markdown
In the dynamic and complex world of system monitoring, [VictoriaMetrics Anomaly Detection](https://victoriametrics.com/products/enterprise/anomaly-detection/) (or shortly, `vmanomaly`), 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 identification of 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](https://docs.victoriametrics.com/anomaly-detection/components/models/#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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Get started with VictoriaMetrics Anomaly Detection efficiently by following our guides and installation options:
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- **Quickstart**: Learn how to quickly set up `vmanomaly` by following the [Quickstart Guide](https://docs.victoriametrics.com/anomaly-detection/quickstart/).
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- **Overview**: Understand the architecture and operation of the `vmanomaly` service [here](https://docs.victoriametrics.com/anomaly-detection/overview/).
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- **Integration**: Integrate anomaly detection into your existing observability stack. Find detailed steps [here](https://docs.victoriametrics.com/anomaly-detection/guides/guide-vmanomaly-vmalert/).
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- **Anomaly Detection Presets**: Enable anomaly detection on predefined sets of metrics that require frequent static threshold changes for alerting. Learn more [here](https://docs.victoriametrics.com/anomaly-detection/presets/).
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- **Installation Options**: Choose the installation method that best fits your infrastructure:
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- **Docker Installation**: Ideal for containerized environments. Follow the [Docker Installation Guide](https://docs.victoriametrics.com/anomaly-detection/overview/#run-vmanomaly-docker-container).
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- **Helm Chart Installation**: Recommended for Kubernetes deployments. See our [Helm charts](https://github.com/VictoriaMetrics/helm-charts/tree/master/charts/victoria-metrics-anomaly).
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- **Self-Monitoring**: Ensure `vmanomaly` is functioning optimally with built-in self-monitoring capabilities. Use the provided Grafana dashboards and alerting rules to track service health and operational metrics. Find the complete docs [here](https://docs.victoriametrics.com/anomaly-detection/self-monitoring/).
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> **Note**: starting from [v1.5.0](https://docs.victoriametrics.com/anomaly-detection/changelog/#v150) `vmanomaly` requires a [license key](https://docs.victoriametrics.com/anomaly-detection/overview/#licensing) to run. You can obtain a trial license key [**here**](https://victoriametrics.com/products/enterprise/trial/).
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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](https://docs.victoriametrics.com/anomaly-detection/components/)
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- [Models](https://docs.victoriametrics.com/anomaly-detection/components/models/)
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- [Reader](https://docs.victoriametrics.com/anomaly-detection/components/reader/)
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- [Scheduler](https://docs.victoriametrics.com/anomaly-detection/components/scheduler/)
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- [Writer](https://docs.victoriametrics.com/anomaly-detection/components/writer/)
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- [Monitoring](https://docs.victoriametrics.com/anomaly-detection/components/monitoring/)
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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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## Product Updates
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Stay up-to-date with the latest improvements and features in VictoriaMetrics Anomaly Detection, and the rest of our products on our [blog](https://victoriametrics.com/blog/tags/product-updates/).
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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](https://docs.victoriametrics.com/anomaly-detection/faq/) to find responses to common questions.
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## Get in Touch
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We are eager to connect with you and adapt 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](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.
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---
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Our [CHANGELOG is just a click away](https://docs.victoriametrics.com/anomaly-detection/changelog/), keeping you informed about the latest updates and enhancements.
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