Origin Analytics¶

Origin Analytics provides insights into requests that bypass the CDN cache and are sent directly to your origin server, helping you optimize caching policies and reduce origin server load.

Origin Request Analysis¶

Request Distribution by URL¶

Horizontal bar graphs showing origin requests by specific URLs reveal:

Cache bypass patterns for different resources and endpoints
High-frequency origin requests that could benefit from better caching
Resource-specific caching effectiveness across your website

Key insights: - URLs with high origin request counts may have ineffective cache configurations - Dynamic content patterns that require cache optimization - Static resources unnecessarily hitting origin servers

Request Method Analysis¶

Understanding the types of requests reaching your origin:

GET requests: Potentially cacheable content that may be misconfigured
POST requests: Dynamic operations that typically bypass cache appropriately
Other methods: PUT, DELETE, PATCH operations requiring origin processing

Detailed Request Information¶

AJAX Request Patterns¶

Tracking asynchronous requests to your origin:

API endpoint usage patterns and caching opportunities
Dynamic content loading that might benefit from edge processing
Client-side application behavior affecting origin load

Query Parameter Impact¶

How URL parameters affect caching and origin requests:

Parameter-sensitive caching configurations
Cache key optimization opportunities for parameterized URLs
Query string handling effectiveness in your cache rules

Request Context Analysis¶

Additional details provided in analytics tooltips:

Request volume per URL for prioritizing optimization efforts
Hit frequency patterns over time
Geographic distribution of origin-bound requests

Cache Optimization Opportunities¶

Identifying Cacheable Content¶

Use origin analytics to find optimization opportunities:

Static resources hitting origin unnecessarily
Semi-static content with predictable update patterns
API responses that could benefit from short-term caching

Cache Configuration Improvements¶

Origin request patterns reveal configuration issues:

TTL settings that are too conservative for stable content
Cache key configurations causing unnecessary cache misses
Bypass rules that may be overly broad

Performance Impact Assessment¶

Understanding origin load implications:

Origin server capacity planning based on request patterns
Response time optimization for frequently requested resources
Bandwidth usage between CDN and origin servers

Origin Server Optimization¶

Load Distribution Analysis¶

How origin requests are distributed:

Peak request periods requiring adequate origin capacity
Geographic patterns in origin requests
Content type distribution affecting origin server resource usage

Response Time Correlation¶

Connecting origin requests with performance:

Slow origin responses affecting overall site performance
Resource-specific delays that need optimization
Capacity bottlenecks revealed through response time patterns

Error Rate Analysis¶

Origin server health insights:

Error responses from origin affecting user experience
Timeout patterns indicating capacity or configuration issues
Success rate optimization for better reliability

Advanced Origin Analysis¶

Caching Strategy Optimization¶

Using origin data to improve cache effectiveness:

Cache rule refinement based on actual request patterns
Edge processing opportunities for dynamic content
Purging strategy optimization based on content update patterns

Origin Offloading¶

Reducing origin server load through optimization:

Edge computing opportunities for processing requests at the CDN
Static content optimization to eliminate unnecessary origin requests
API gateway functionality at the edge for common operations

Cost Optimization¶

Understanding the economic impact of origin requests:

Bandwidth costs between CDN and origin
Origin server scaling requirements based on request patterns
Infrastructure optimization for better cost efficiency

Performance Monitoring¶

Origin Health Metrics¶

Using request patterns to monitor origin server performance:

Request success rates as an indicator of origin health
Response time trends showing origin performance changes
Error pattern analysis for proactive issue detection

Capacity Planning¶

Planning origin infrastructure based on request patterns:

Peak load handling capacity requirements
Growth trend analysis for scaling decisions
Geographic distribution of origin server needs

SLA Monitoring¶

Ensuring origin server performance meets requirements:

Response time compliance with internal SLAs
Availability monitoring through request success patterns
Performance degradation detection through analytics

Integration with Other Analytics¶

CDN Performance Correlation¶

Connecting origin analytics with CDN metrics:

Cache hit rate optimization based on origin request patterns
Overall performance impact of origin requests on user experience
Cost-benefit analysis of caching improvements

Security Considerations¶

Origin requests in the context of security:

Attack patterns attempting to bypass CDN protection
Direct origin access attempts that need blocking
Security rule effectiveness in protecting origin servers

Origin analytics provide crucial insights for optimizing your CDN configuration, reducing origin server load, and improving overall website performance while managing infrastructure costs effectively.