VictoriaMetrics/docs/anomaly-detection
Fred Navruzov ea90d91a30
docs/vmanomaly - fix 404 img links & remove outdated models (#6460)
### Describe Your Changes

Fix 404 relative img links for v1.13.0 update of vmanomaly docs

### Checklist

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(cherry picked from commit 9a355c3512)
2024-06-11 17:05:10 +02:00
..
components docs/vmanomaly - fix 404 img links & remove outdated models (#6460) 2024-06-11 17:05:10 +02:00
guides docs/vmanomaly - release 1.13.0 preparation (#6436) 2024-06-11 17:05:07 +02:00
CHANGELOG.md docs/vmanomaly - release 1.13.0 preparation (#6436) 2024-06-11 17:05:07 +02:00
FAQ.md docs/vmanomaly - release 1.13.0 preparation (#6436) 2024-06-11 17:05:07 +02:00
Overview.md docs/vmanomaly - fix 404 img links & remove outdated models (#6460) 2024-06-11 17:05:10 +02:00
QuickStart.md docs/vmanomaly - release 1.13.0 preparation (#6436) 2024-06-11 17:05:07 +02:00
README.md docs/vmanomaly: improve FAQ (#6369) 2024-05-30 16:16:56 +02:00
vmanomaly-holtwinters-example.webp Move vmanomaly page to its own section (#5646) 2024-01-22 00:26:37 +02:00
vmanomaly-prophet-example.webp Move vmanomaly page to its own section (#5646) 2024-01-22 00:26:37 +02:00

title weight aliases
VictoriaMetrics Anomaly Detection 0
/anomaly-detection.html
/vmanomaly.html
/vmanomaly/

VictoriaMetrics Anomaly Detection

In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, being a part of our Enterprise offering, 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, 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.

  • Overview: Find out how vmanomaly service operates here

  • Integration: Integrate anomaly detection into your observability ecosystem. Get started here.

  • Installation Options: Select the method that aligns with your technical requirements:

    • Docker Installation: Suitable for containerized environments. See Docker guide.
    • Helm Chart Installation: Appropriate for those using Kubernetes. See our Helm charts.

Note

: starting from v1.5.0 vmanomaly requires a license key to run. You can obtain a trial license key here.

Key Components

Explore the integral components that configure VictoriaMetrics Anomaly Detection:

Deep Dive into Anomaly Detection

Enhance your knowledge with our handbook on Anomaly Detection & Root Cause Analysis and stay updated:

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 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:


Our CHANGELOG is just a click away, keeping you informed about the latest updates and enhancements.