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What is VictoriaMetrics Anomaly Detection?

VictoriaMetrics Anomaly Detection is a continuous monitoring service that analyzes data within VictoriaMetrics to identify real-time unexpected variations in data patterns. This innovative solution employs customizable machine learning models to effectively pinpoint anomalies. As a vital component of our Enterprise offering, VictoriaMetrics Anomaly Detection serves as an essential resource for navigating the intricacies of system monitoring in an ever-evolving landscape. It significantly aids Site Reliability Engineers (SREs), DevOps professionals, and other teams by automating the intricate process of detecting unusual behavior in time series data. Unlike traditional threshold-based alerting systems, it leverages machine learning techniques to uncover anomalies, thereby reducing the occurrence of false positives and alleviating alert fatigue. The implementation of unified anomaly scores and streamlined alerting processes enables teams to swiftly recognize and resolve potential issues, ultimately enhancing the reliability of their systems. By adopting this advanced anomaly detection service, organizations can ensure more proactive and efficient management of their data-driven operations.

What is SmartCap?

SmartCap emerges as the leading solution for monitoring fatigue, providing instant feedback to help operators sustain their alertness. By evaluating fatigue risk in real-time, it seeks to avert incidents such as microsleeps, near-misses, severe injuries, and even fatalities. Featuring risk management, targeted support, and insightful data analytics, SmartCap diligently works towards the elimination of fatigue-related accidents across various settings. Leveraging advanced technology, it accurately measures the potential for microsleep without the need for any calibration. Furthermore, SmartCap enables operators to take control of their fatigue management through early warning signals and alerts. It also identifies those at higher risk, offering critical insights that empower operations to better support their teams. By analyzing a diverse range of alertness levels among operators, SmartCap provides a comprehensive dataset. When integrated with operational practices, it highlights specific areas where fatigue risks are increased, promoting proactive strategies that bolster overall safety. In essence, SmartCap not only protects individuals but also enhances the productivity and effectiveness of the entire operation, creating a safer work environment for everyone involved. This multifaceted approach ensures that organizations can maintain a vigilant workforce while mitigating the dangers associated with fatigue.

Media

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Media

Integrations Supported

VictoriaMetrics Enterprise

Integrations Supported

VictoriaMetrics Enterprise

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

VictoriaMetrics

Date Founded

2018

Company Location

United States

Company Website

victoriametrics.com/products/enterprise/anomaly-detection/

Company Facts

Organization Name

Wenco International Mining Systems

Company Location

Canada

Company Website

www.wencomine.com/our-solutions/safety

Categories and Features

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring

Categories and Features

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