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What is CloudFabrix?

For modern digital-first enterprises, ensuring service quality is a crucial objective and has evolved into an essential element of their business applications. The increasing complexity of these applications, driven by advancements in 5G technology, edge computing, and containerized cloud-native systems, necessitates effective solutions. RDAF plays a vital role by integrating various data sources and identifying root causes through dynamic AI and machine learning pipelines. Subsequently, it employs intelligent automation to address issues efficiently. Companies that rely on data should carefully consider the evaluation, assessment, and implementation of RDAF to accelerate innovation, shorten the time to realize value, adhere to service level agreements, and enhance overall customer experiences, ultimately positioning themselves for success in a competitive landscape. By leveraging RDAF, organizations can not only improve their operational efficiency but also foster a culture of continuous improvement and responsiveness to market demands.

What is Azure AI Anomaly Detector?

Anticipate challenges before they occur by utilizing the Azure AI anomaly detection service, which integrates time-series anomaly detection capabilities into your applications, enabling quick identification of issues. This AI-driven Anomaly Detector analyzes various time-series datasets and smartly selects the most effective algorithm for anomaly detection, ensuring high accuracy. It can detect anomalies like spikes, drops, deviations from normal patterns, and shifts in trends through univariate and multivariate APIs. Additionally, the service can be customized to recognize different severity levels of anomalies tailored to your requirements. You also have the option to implement the anomaly detection service in the cloud or at the intelligent edge, based on your needs. With a powerful inference engine that assesses your time-series information, the service independently determines the best anomaly detection algorithm for your context, enhancing precision. This automated detection mechanism minimizes the dependency on labeled training data, allowing you to save time and focus on addressing emerging issues, which ultimately leads to enhanced operational efficacy. By harnessing this innovative tool, organizations can take a proactive approach to managing potential interruptions and refine their strategies for response. This capability not only improves organizational resilience but also fosters a culture of continuous improvement in operations.

Media

Media

Integrations Supported

AWS Marketplace
Azure AI Metrics Advisor
Bing
CTM360
Crestwood Cloud
Microsoft Azure
Microsoft Office 2021
ServiceNow
ServiceNow Asset Management
ServiceNow Configuration Management Database
ServiceNow DevOps
Splunk AR
Splunk IT Service Intelligence
groundcover

Integrations Supported

AWS Marketplace
Azure AI Metrics Advisor
Bing
CTM360
Crestwood Cloud
Microsoft Azure
Microsoft Office 2021
ServiceNow
ServiceNow Asset Management
ServiceNow Configuration Management Database
ServiceNow DevOps
Splunk AR
Splunk IT Service Intelligence
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

$0.03/GB
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

CloudFabrix Software

Date Founded

2015

Company Location

United States, United Kingdom and India

Company Website

www.cloudfabrix.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/ai-services/ai-anomaly-detector/

Categories and Features

IT Asset Management

Asset Tracking
Audit Management
Compliance Management
Configuration Management
Contract/License Management
Cost Tracking
Depreciation Management
IT Service Management
Inventory Management
Maintenance Management
Procurement Management
Requisition Management
Supplier Management

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Website Monitoring

Availability Testing
Event Logs
Event-Based Notifications
FTP Monitoring
Mail Server Monitoring
Maintenance Scheduling
Performance Metrics
Real Time Monitoring
Transaction Monitoring
Uptime Reporting

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