How We Calculate Status
Our transparent methodology analyzes community reports with advanced time-based detection algorithms to provide the most accurate server status information.
Methodology Overview
We use a sophisticated calculation system that analyzes user reports with time-based patterns to detect spikes and sustained issues, ensuring the most accurate and timely status information while maintaining transparency about our decision-making process.
Data Sources
User Reports
Community-submitted reports with relevant technical information.
- •Community-submitted reports with relevant technical details
- •Various issue categories covering common gaming problems
- •Protected against spam and abuse
- •Advanced verification measures
- •Real-time community feedback
- •Comprehensive severity assessment
User Reports Analysis
Comprehensive analysis of community-submitted reports.
- •Time-based spike detection (5 minutes, 1 hour, 24 hours)
- •Report volume analysis
- •Pattern recognition for mass outages
- •Category-based issue tracking
- •Geographic and platform breakdown
- •Real-time report processing
Advanced Analytics
Intelligent analysis of multiple data sources.
- •Multi-source data correlation
- •Pattern recognition and trend analysis
- •Automated status determination
- •Confidence scoring algorithms
- •Historical data comparison
- •Predictive status modeling
Status Levels
Likely Operational
Systems appear to be functioning normally with minimal reported issues.
Criteria:
- •Minimal or no user reports detected
- •Low report volume across all time windows
- •No spike patterns in recent reports
- •Consistent low activity indicates normal operation
- •High confidence from comprehensive report analysis
Possible Issues
Moderate user-reported issues detected.
Criteria:
- •Moderate community-reported issues
- •Multiple reports indicating potential problems
- •Medium confidence from user report analysis
Potential Problems
Low volume user reports indicate potential issues.
Criteria:
- •Limited community reports detected
- •Elevated report activity patterns
- •Medium confidence pending more data
Likely Down
Strong evidence of server outage with high user impact.
Criteria:
- •Mass user reports detected in short timeframe
- •Significant community-reported issues
- •High report volume indicating widespread problems
- •High confidence from user report analysis
Monitoring Reports
User reports present but pattern analysis indicates isolated issues.
Criteria:
- •Significant community reports detected
- •Pattern analysis shows isolated or localized problems
- •Medium confidence pending more data
- •Continuous monitoring of situation
Confidence Levels
High Confidence
Strong report patterns confirm the status with consistent data.
- •Strong report patterns confirm the status with consistent data
- •Community feedback supports reported issues
- •Impact analysis shows widespread or localized effects
- •Time-based analysis shows clear patterns across multiple windows
Medium Confidence
Report patterns show some consistency but with minor discrepancies.
- •User reports present but pattern analysis shows mixed signals
- •Community feedback indicates issues but scattered reports
- •Limited impact observed
- •Time-based analysis shows inconsistent patterns
Low Confidence
Conflicting signals or insufficient data.
- •Very few user reports available
- •Pattern analysis shows conflicting signals
- •Community feedback is minimal or contradictory
- •Time-based analysis shows inconsistent patterns across windows
Advanced Features
Intelligent Calculation
- • User reports analyzed with time-based windows
- • Spike detection (5 minutes, 1 hour, 24 hours)
- • Pattern recognition for mass outages
- • Volume-based status determination
- • Confidence scoring based on report patterns
Real-Time Monitoring
- • Recent data analysis
- • Optimized processing for performance
- • Reliable calculation mechanisms
- • Continuous status updates
- • System updates automatically when new information arrives
Update Frequency & Data Retention
Real-time Updates
- • User reports processed continuously
- • Status calculation runs every 5 minutes
- • Real-time spike detection
- • Status recalculation triggered by new reports
- • Continuous status updates via WebSocket
Data Retention
- • User reports retained according to privacy policy
- • Incident history maintained for analysis
- • User report analysis with time-based patterns
- • Report patterns and trends analyzed for insights
- • System monitoring and logging
Have Questions?
We're committed to providing accurate and reliable server status information. If you have questions about our methodology, notice any discrepancies, or need additional information about our monitoring systems, we'd love to hear from you.
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