Usage Analytics¶
Usage Analytics provides comprehensive billing and resource consumption insights, helping you understand costs, optimize resource usage, and plan for growth across all Peakhour services.
Usage Metrics Overview¶
Traffic Usage¶
Bandwidth consumption across your CDN usage:
- Total data transfer volume for billing calculations
- Geographic distribution of bandwidth usage
- Peak usage periods for capacity planning
- Growth trends for budget forecasting
HTML Page Views¶
Page view counts for billing and engagement analysis:
- Standard page views from regular browser requests
- Cached vs. origin page view distribution
- Geographic page view patterns
- User engagement trends over time
Beacon Page Views¶
Real User Monitoring (RUM) data collection usage:
- RUM-enabled page views for performance monitoring billing
- Data collection coverage across your website
- Sampling effectiveness for cost optimization
- Performance monitoring value assessment
Request Hits¶
Total request volume across all resource types:
- Overall request volume for understanding site activity
- Resource type distribution (HTML, images, CSS, JS, etc.)
- Bot vs. human traffic in request counts
- Peak load patterns for infrastructure planning
Shield Hits¶
Requests processed by shield cache infrastructure:
- Shield utilization for understanding cache hierarchy effectiveness
- Origin protection through shield cache usage
- Regional shield usage patterns
- Cache optimization opportunities
Transform Operations¶
Resource optimization and processing usage:
- Image optimization volume and effectiveness
- Code transformation usage (minification, compression)
- Format conversion operations (WebP, AVIF generation)
- Processing cost vs. performance benefit analysis
Billing and Cost Analysis¶
Usage Period Breakdown¶
Detailed billing period analysis:
- Monthly usage patterns and trends
- Billing cycle optimization for cost management
- Seasonal variations in resource consumption
- Budget planning based on historical usage
Cost Attribution by Service¶
Understanding where your costs come from:
- CDN bandwidth costs and optimization opportunities
- Security services usage and value assessment
- Transform operations cost vs. performance benefits
- RUM monitoring data collection costs
Usage Optimization Opportunities¶
Identifying cost savings potential:
- Over-provisioned services that could be optimized
- Underutilized features that might provide better value
- Peak usage smoothing for better cost predictability
- Feature adoption that could improve cost efficiency
Resource Utilization Analysis¶
Efficiency Metrics¶
Understanding resource usage effectiveness:
- Cache hit rates impact on bandwidth costs
- Transform ratios showing optimization effectiveness
- Shield utilization for origin server protection
- RUM sampling efficiency for monitoring costs
Growth Pattern Analysis¶
Planning for future resource needs:
- Traffic growth trends for capacity planning
- Feature adoption patterns affecting usage costs
- Seasonal adjustments for budget planning
- Performance correlation with resource usage
Cost Optimization Strategies¶
Usage-Based Optimization¶
Optimizing costs through usage pattern analysis:
- Cache configuration improvements to reduce bandwidth costs
- Transform settings optimization for cost vs. quality balance
- RUM sampling adjustments for cost-effective monitoring
- Peak shaving strategies for more predictable costs
Service Mix Optimization¶
Balancing different service usage for best value:
- CDN vs. origin cost optimization through better caching
- Security vs. performance feature balance
- Monitoring vs. cost trade-offs in data collection
- Feature prioritization based on value delivered
Planning and Forecasting¶
Capacity Planning¶
Using usage data for infrastructure planning:
- Growth trajectory analysis for scaling decisions
- Peak usage planning for adequate capacity
- Geographic expansion resource requirements
- Service evolution impact on resource needs
Budget Forecasting¶
Financial planning based on usage trends:
- Cost trend analysis for accurate budget planning
- Seasonal adjustments in usage and costs
- Feature rollout impact on usage costs
- ROI analysis for different service levels
Advanced Usage Analytics¶
Correlation Analysis¶
Understanding relationships between usage and outcomes:
- Usage vs. performance correlation for optimization
- Cost vs. user experience trade-off analysis
- Service mix vs. outcomes effectiveness assessment
- Investment vs. return analysis across features
Benchmarking¶
Comparing usage patterns for optimization:
- Industry benchmarks for usage efficiency
- Historical comparisons for trend analysis
- Peer comparisons where appropriate
- Best practice identification from usage patterns
Predictive Analytics¶
Using historical usage for future planning:
- Usage forecasting based on growth patterns
- Anomaly detection for unusual usage spikes
- Trend analysis for long-term planning
- Optimization prediction for cost savings opportunities
Reporting and Governance¶
Usage Reporting¶
Regular reporting for stakeholders:
- Executive summaries of usage and costs
- Detailed breakdowns for technical teams
- Trend analysis for strategic planning
- Optimization recommendations based on usage patterns
Cost Governance¶
Managing and controlling usage costs:
- Budget alerts for usage threshold monitoring
- Cost allocation across different projects or departments
- Usage policies for controlling resource consumption
- Approval workflows for significant usage increases
Usage analytics provide the foundation for informed decision-making about resource allocation, cost optimization, and strategic planning for your Peakhour services, ensuring you get maximum value from your investment while maintaining optimal performance and security.