StreamIQ: Edge DPI with Cloud AI Intelligence
Real-time deep packet inspection at the edge combined with cloud AI analytics for predictive network intelligence and bandwidth forecasting.
Product Overview
StreamIQ revolutionizes network intelligence by combining ultra-lightweight edge DPI processing with powerful cloud AI analytics. Edge nodes classify applications like Netflix, YouTube, Prime Video in real-time while cloud AI models analyze patterns to predict future bandwidth demands and usage trends.
How StreamIQ Works
Lightning-fast detection and comprehensive flow analytics
Key Features
Real-Time Application Classification
Advanced DPI engine identifies and classifies network traffic in real-time, providing granular visibility into application usage patterns.
- Netflix, YouTube, Prime Video, Disney+ classification
- VoIP, video conferencing, gaming traffic identification
- Enterprise application monitoring
- IoT device traffic analysis
Cloud AI Predictive Analytics
Cloud-based machine learning models analyze edge data to predict bandwidth requirements and usage patterns.
- Predictive bandwidth demand modeling
- User behavior pattern analysis
- Capacity planning recommendations
- Anomaly detection and alerting
Real-Time Analytics Dashboard
Comprehensive visibility into network performance with real-time metrics and historical trend analysis.
- Live traffic monitoring and visualization
- Application performance metrics
- User experience quality indicators
- Custom reporting and alerts
Privacy-Preserving Architecture
Built-in privacy protection ensures compliance while delivering actionable network intelligence.
- No personal data storage or processing
- Aggregate analytics and insights only
- GDPR and privacy regulation compliance
- Configurable data retention policies
Use Cases & Applications
ISP Traffic Analysis
Internet Service Providers use StreamIQ for comprehensive traffic analysis and capacity planning across their network infrastructure.
Enterprise Network Monitoring
Enterprise organizations deploy StreamIQ for application performance monitoring and network optimization.
Satellite & IFC Networks
Airlines and satellite operators leverage StreamIQ for optimizing In-Flight Connectivity and satellite network performance.
Mobile Network Analytics
Mobile operators use StreamIQ for 4G/5G network optimization and subscriber experience enhancement.
Technical Specifications
Performance Metrics
- Throughput: Up to 1 Gbps per instance, 10 Gbps per site (clustered)
- Latency: Sub-millisecond processing delay
- Accuracy: 99.9% application classification accuracy
- Scalability: Horizontal scaling across multiple instances
Resource Requirements
- Memory: Less than 512 MB RAM per instance
- CPU: Less than 1 vCPU per instance
- Storage: Minimal local storage footprint
- Network: Standard Ethernet connectivity
Deployment Options
- Container: Docker and Kubernetes support
- Virtual Machine: VMware, KVM, Hyper-V compatibility
- Bare Metal: Direct hardware deployment
- Cloud: AWS, Azure, GCP marketplace availability
Integration & APIs
- REST APIs: Comprehensive API for integration
- Kafka Streams: Real-time data streaming
- SNMP: Network management protocol support
- Syslog: Standard logging and monitoring
StreamIQ Benefits
Predictive Intelligence
Move from reactive to predictive network management with AI-powered bandwidth forecasting and usage pattern analysis.
Ultra-Lightweight
Deploy anywhere with minimal resource requirements - containers, VMs, or bare metal with less than 512MB RAM.
Real-Time Processing
Sub-millisecond latency for real-time traffic classification and analysis without impacting network performance.
Privacy-First Design
Built-in privacy protection with no personal data storage, ensuring compliance with global privacy regulations.
Ready to Transform Your Network Intelligence?
Experience StreamIQ's powerful combination of edge DPI and cloud AI analytics.
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