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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

InfraSonar serves as a robust infrastructure monitoring solution, providing capabilities such as real-time performance tracking, anomaly detection, and optimization of operations. Its user-friendly design is tailored to adjust according to the specific requirements of an organization. With a modular architecture, users can seamlessly incorporate custom data collectors as needed. The platform features a comprehensive API, enabling integration with various BI platforms for streamlined reporting, and it supports multiple notification methods, including SMS, WhatsApp, email, and voice calls. As a versatile multi-tenant solution, InfraSonar is engineered to scale effortlessly, catering to the varied demands of Managed Service Providers (MSPs) and their clients. Equipped with a wide array of industry best practices, our platform ensures a quick and efficient onboarding experience. Additionally, recognizing that each business has its own unique needs, InfraSonar empowers users to customize conditions, views, and reports to suit their operational framework. This level of adaptability makes InfraSonar not just a monitoring tool, but a comprehensive solution for infrastructure management.

Description

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

VictoriaMetrics Enterprise No 

Integrations

VictoriaMetrics Enterprise Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

InfraSonar

Country

Netherlands

Website

www.infrasonar.com

Vendor Details

Company Name

VictoriaMetrics

Founded

2018

Country

United States

Website

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

Product Features

IT Infrastructure Monitoring

Alerts / Notifications No 
Application Monitoring No 
Bandwidth Monitoring No 
Capacity Planning No 
Configuration Change Management No 
Data Movement Monitoring No 
Health Monitoring No 
Multi-Platform Support No 
Performance Monitoring No 
Point-in-Time Visibility No 
Reporting / Analytics No 
Virtual Machine Monitoring No 

Product Features

IT Infrastructure Monitoring

Alerts / Notifications No 
Application Monitoring No 
Bandwidth Monitoring No 
Capacity Planning No 
Configuration Change Management No 
Data Movement Monitoring No 
Health Monitoring No 
Multi-Platform Support No 
Performance Monitoring No 
Point-in-Time Visibility No 
Reporting / Analytics No 
Virtual Machine Monitoring No 

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