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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 Sightness?

Simplify complexity and improve decision-making processes. Meet the innovative AI-powered SaaS platform tailored to detect transport anomalies. This intelligent transport solution provides a comprehensive global view, incorporates smart anomaly detection, and acts as a crucial ally in making informed decisions. Leveraging cutting-edge AI technology, Sightness reduces the challenges linked to freight transportation by harmonizing varied data, delivering both overarching and detailed insights into operations, and identifying discrepancies. This all-encompassing strategy facilitates the formulation of targeted action plans that meet specific requirements. Sightness is available in modular formats that correspond to the three key dimensions of transportation: expenses, customer obligations, and environmental impact. Its powerful functionalities tackle the challenges faced by shippers and carriers alike, enabling a smooth integration of transport into your Corporate Social Responsibility (CSR) framework. Furthermore, it allows for the evaluation of your carbon footprint, the simulation of different action plans, and the analysis of their impacts, promoting an eco-friendly approach to transport management while fostering long-term sustainability.

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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

Sightness

Company Location

France

Company Website

sightness.com

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

Shipment Tracking

Alerts/Notifications
Delivery Estimate
For Freight
For eCommerce
Status Tracking
Website Integration

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