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Transform Analytics

Transform Analytics provides insights into Peakhour's resource optimization processes, showing how your website's assets are being processed to improve performance and reduce bandwidth usage.

Transformation Metrics

Number of Resources Transformed

Tracks the volume of files processed through Peakhour's optimization engine:

  • Optimization coverage showing what percentage of your assets are being processed
  • Transformation activity patterns over time
  • Resource type distribution indicating which content types benefit most from optimization

Derived Resources

Counts the additional optimized versions created from original assets:

  • Multiple format generation (e.g., WebP, AVIF from JPEG)
  • Responsive variants for different screen sizes and resolutions
  • Quality variations for different bandwidth conditions

Total Transform Operations

Measures the overall optimization activity across your website:

  • Processing workload handled by the transformation system
  • Optimization efficiency trends over time
  • System utilization for capacity planning

Size and Performance Impact

Original vs. Transformed Size

Direct comparison of file sizes before and after optimization:

  • Compression effectiveness across different file types
  • Bandwidth savings achieved through optimization
  • Storage efficiency improvements in your CDN cache

Percentage Savings

Quantifies the efficiency gains from transformation:

  • Overall optimization impact on your website's data transfer
  • File type effectiveness showing which optimizations work best
  • Performance improvement potential through size reduction

Typical savings ranges:

  • Images: 30-80% size reduction depending on format and quality settings
  • JavaScript/CSS: 20-60% through minification and compression
  • HTML: 10-40% through minification and whitespace removal

Transformation Type Analysis

MIME Type Transformation

Detailed breakdown showing format conversions:

  • Original MIME types and their transformation patterns
  • Target format distribution (WebP, AVIF, compressed variants)
  • Compatibility considerations for different browser support

Processing Duration

Performance metrics for the transformation operations:

  • Average transformation time per resource type
  • Processing bottlenecks that might delay content delivery
  • Optimization efficiency trends over time

Performance considerations:

  • First-time transformations take longer as cache builds
  • Popular resources benefit from cached transformations
  • Complex transformations (multiple formats) increase processing time

Resource Type Optimization

Image Optimization

Specialized processing for visual content:

  • Format modernization (JPEG/PNG to WebP/AVIF)
  • Quality optimization balancing file size with visual quality
  • Responsive image generation for different devices

Code Optimization

Processing for JavaScript, CSS, and HTML:

  • Minification removing unnecessary characters and whitespace
  • Bundling combining multiple files for fewer requests
  • Tree shaking removing unused code sections

Font Optimization

Font file processing and optimization:

  • Subsetting including only required characters
  • Format optimization for better browser support
  • Preloading optimization for faster font rendering

Performance Impact Analysis

Cache Efficiency

How transformations affect caching:

  • Cache hit rates for transformed vs. original resources
  • Cache storage efficiency through smaller file sizes
  • CDN performance improvements from optimized content

User Experience Impact

Real-world benefits of transformations:

  • Page load time improvements from smaller resources
  • Bandwidth usage reduction, especially important for mobile users
  • Visual quality maintenance despite size reductions

Network Efficiency

Bandwidth and transfer optimization:

  • Reduced data transfer costs and improved performance
  • Faster time-to-first-byte for optimized resources
  • Better mobile performance through smaller payload sizes

Optimization Strategy Insights

Effectiveness by Content Type

Understanding which optimizations provide the best returns:

  • High-impact transformations that should be prioritized
  • Diminishing returns where additional optimization may not be worthwhile
  • Resource-specific strategies for different content types

Transformation Coverage

Ensuring comprehensive optimization:

  • Uncovered resources that could benefit from transformation
  • Optimization gaps in your current configuration
  • New resource types that could be added to transformation pipelines

Quality vs. Size Tradeoffs

Balancing optimization aggressiveness with quality:

  • Quality settings impact on user experience
  • Compression ratios vs. visual fidelity
  • Performance gains vs. quality preservation

Advanced Transform Analytics

Progressive Enhancement

How transformations enable modern web features:

  • Modern format adoption rates across your user base
  • Fallback effectiveness for older browsers
  • Feature detection and appropriate optimization delivery

A/B Testing Insights

Comparing different optimization strategies:

  • Optimization setting effectiveness
  • User experience impact of different quality levels
  • Performance measurement across various optimization approaches

Cost-Benefit Analysis

Economic impact of transformation:

  • Bandwidth cost savings from smaller file sizes
  • Processing cost vs. delivery efficiency gains
  • Infrastructure optimization through reduced origin load

Transform analytics help you understand the concrete benefits of Peakhour's optimization features, enabling you to fine-tune settings for the best balance of performance, quality, and resource efficiency.