mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-15 08:23:34 +01:00
a68518c0e0
* first edit
* typo 1
* typo 2
* fixes 3
* fixes 4
* fixes 5
* fixes, cross links
* v1.10 config
* models why, self-monitoring fix
* config next steps
* fixes
* minor fix
(cherry picked from commit b2baf7d472)
56 lines
4.2 KiB
Markdown
56 lines
4.2 KiB
Markdown
---
|
|
# sort: 14
|
|
title: VictoriaMetrics Anomaly Detection
|
|
weight: 0
|
|
aliases:
|
|
- /anomaly-detection.html
|
|
- /vmanomaly.html
|
|
---
|
|
|
|
# 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.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).
|
|
|
|
- **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/index.html).
|
|
|
|
## Key Components
|
|
Explore the integral components that configure VictoriaMetrics Anomaly Detection:
|
|
* [Explore components and their interation](/anomaly-detection/components)
|
|
- [Models](/anomaly-detection/components/models.html)
|
|
- [Reader](/anomaly-detection/components/reader.html)
|
|
- [Scheduler](/anomaly-detection/components/scheduler.html)
|
|
- [Writer](/anomaly-detection/components/writer.html)
|
|
- [Monitoring](/anomaly-detection/components/monitoring.html)
|
|
|
|
## 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.html) to find responses to common questions.
|
|
|
|
## Get in Touch
|
|
We're eager to connect with you and tailor 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? [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. |