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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 Cordel?

Cordel is in the process of creating an advanced automated system that employs machine learning to oversee smart infrastructure. This innovative solution combines state-of-the-art hardware for data collection with a cloud-based software platform that enables efficient data fusion, analytical processing, and thorough reporting, thereby managing the information collected by our devices alongside data acquired from various other technologies. Our platform is designed to handle substantial data processing and management needs, featuring a modern and flexible architecture. We are dedicated to the continuous growth and refinement of our technologies, gaining valuable insights from our partnerships with an increasing number of clients within the global rail sector. This ongoing enhancement process not only keeps our solutions at the cutting edge of technology but also ensures we effectively address the changing requirements of our diverse clientele. As we move forward, we remain focused on leveraging these insights to drive future innovation.

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

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

Cordel

Date Founded

2012

Company Location

Australia

Company Website

cordel.ai/platforms/

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

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

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