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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 PRISM Fatigue Management System?

PRISM equips supervisors with the tools necessary to foresee when employees are likely to experience severe fatigue. The dangers posed by a fatigued worker can be comparable to those presented by someone under the influence of alcohol. Fatigue negatively affects balance, coordination, motor skills, and cognitive functions, which significantly increases the risk of accidents and errors. Throughout history, fatigue has been a contributing factor in numerous major industrial disasters. For companies employing around 1,000 individuals, the yearly financial consequences of fatigue can surpass $1.5 million. With PRISM, managers can effectively assess and monitor the early signs and progression of fatigue. It pinpoints particular areas of fatigue risk for individual employees, shifts, and departments, enabling proactive strategies for managing fatigue that bolster both safety and productivity. Furthermore, PRISM offers fatigue prediction reports at the start of each shift, providing supervisors with essential insights to make well-informed decisions about workforce management. This feature not only enhances safety in the workplace but also promotes a more positive and health-conscious work environment for all employees. By prioritizing fatigue management, organizations can significantly improve overall operational efficiency.

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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

Pricing not provided.
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

Predictive Safety SRP

Company Location

United States

Company Website

predictivesafety.com/prism-fatigue-management-system/

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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