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Description
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Description
Noction IRP is an edge-deployed BGP optimization platform that analyzes traffic in real-time to detect congestion, link failures, and performance degradation. The system continuously probes network routes across all available providers, measuring latency, packet loss, and historical reliability to identify the best paths for both inbound and outbound traffic. Route probing operates independently of production traffic flow, ensuring comprehensive visibility without impacting live sessions.
IRP manages ingress and egress bandwidth intelligently, distributing traffic flows across providers to minimize costs while maintaining quality of service. The platform features configurable traffic engineering policies that allow operators to define cost priorities, performance targets, and failover behaviors. Traffic is automatically rerouted when performance thresholds are reached, ensuring optimal traffic delivery, while respecting network policies and business requirements.
Built-in Automatic Anomaly Detection (AAD) provides DDoS protection by analyzing traffic behavior and identifying deviations from established baselines. Unlike static threshold-based systems, AAD builds adaptive behavioral models that adjust to legitimate traffic patterns. AAD detects volumetric floods, amplification attacks, TCP SYN floods, and application-layer threats, then executes mitigation automatically using BGP FlowSpec for granular filtering and RTBH mechanisms for complete traffic blocking when necessary.
IRP delivers 30%-50% average performance improvement, up to 50% latency reduction, and near-100% network availability while reducing bandwidth costs through intelligent multi-homed routing decisions. The platform integrates seamlessly with existing BGP infrastructure.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Aspen Technology
Founded
1981
Country
United States
Website
www.aspentech.com/en/products/apm/aspen-mtell
Vendor Details
Company Name
Noction
Founded
2011
Country
United States
Website
www.noction.com
Product Features
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Data Center Management
Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance
Load Balancing
Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers
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
