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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.