Expand description
Real-Time Hardware Performance Monitoring Integration
This module provides comprehensive real-time monitoring capabilities for quantum hardware systems, including performance metrics collection, analysis, alerting, and optimization recommendations across all major quantum computing platforms.
Structs§
- Aggregated
Stats - Aggregated statistics for metrics
- Alert
- Alert definition
- Alert
Manager - Alert management system
- Alert
Rule - Alert rule definition
- Alert
Thresholds - Alert threshold configurations
- Analysis
Result - Analysis result
- Analytics
Engine - Analytics engine for performance analysis
- Anomaly
- Anomaly detection result
- Best
Practice - Best practice entry
- Cloud
Config - Cloud configuration
- Correlation
- Correlation analysis result
- Dashboard
Layout - Dashboard layout
- Dashboard
State - Dashboard state
- Database
Config - Database configuration
- Expected
Improvement - Expected improvement from recommendation
- Export
Manager - Export manager
- Export
Settings - Export settings for monitoring data
- Export
Statistics - Export statistics
- Export
Task - Export task
- Knowledge
Base - Knowledge base for optimization
- Metric
Measurement - Individual metric measurement
- Monitoring
Config - Real-time monitoring configuration
- Monitoring
Status - Monitoring status
- Optimization
Advisor - Optimization advisor system
- Optimization
Recommendation - Optimization recommendation
- Outcome
Metrics - Outcome metrics after applying recommendation
- Performance
Dashboard - Performance dashboard
- Platform
Knowledge - Platform-specific knowledge
- Platform
Monitoring Config - Platform-specific monitoring configuration
- Platform
Status - Platform status
- Prediction
- Prediction result
- Realtime
Data Store - Real-time data storage
- Realtime
Monitor - Real-time monitoring engine
- Recommendation
Engine - Recommendation engine
- Recommendation
Rule - Rule-based recommendation rule
- Solution
- Solution entry
- Stream
Config - Stream configuration
- Suppression
Rule - Alert suppression rule
- Training
Example - Training example for ML models
- Trend
Analysis - Trend analysis result
- Widget
Config - Widget configuration
- Widget
Data - Widget data for rendering
Enums§
- Alert
Condition - Alert condition
- Alert
Level - Alert severity levels
- Alert
Status - Alert status
- Anomaly
Type - Types of anomalies
- Comparison
Operator - Comparison operators for alert conditions
- Connection
Status - Connection status
- Correlation
Type - Types of correlations
- Dashboard
Mode - Dashboard modes
- Difficulty
Level - Implementation difficulty levels
- Export
Destination - Export destination options
- Export
Format - Export format options
- Layout
Type - Layout types
- Metric
Type - Types of metrics to monitor
- Metric
Value - Metric value types
- Recommendation
Priority - Recommendation priority levels
- Recommendation
Type - Types of optimization recommendations
- Suppression
Condition - Suppression condition
- System
Status - System status levels
- Task
Priority - Task priority levels
- Trend
Direction - Trend direction
Traits§
- Alert
Handler - Alert handler trait
- Anomaly
Detector - Anomaly detection trait
- Correlation
Analyzer - Correlation analysis trait
- Dashboard
Widget - Dashboard widget trait
- Data
Exporter - Data exporter trait
- MLModel
- Machine learning model trait
- Metric
Collector - Trait for platform-specific metric collection
- Optimization
Strategy - Optimization strategy trait
- Predictive
Model - Predictive modeling trait
- Trend
Analyzer - Trend analysis trait