Analytics
Monitor and analyze streaming traffic, bandwidth usage, cache efficiency, request behavior, and delivery errors to optimize video, audio, and live stream performance across the Medianova CDN network.
The Analytics section for Streaming CDN provides visibility into traffic patterns, bandwidth usage, cache efficiency, request behavior, and delivery errors for video, audio, and live streaming workloads. These metrics help you monitor streaming performance, optimize cache strategies, and identify delivery or origin-related issues.
Traffic
Traffic analytics provide insight into how streaming content is delivered over time and how effectively it is cached.
Available metrics:
Total Traffic Displays the total volume of streaming data delivered within the selected time range.
Traffic Over Time Visualizes traffic trends to help identify peak streaming periods and usage patterns.
Cached vs Non-Cached Traffic Compares traffic served from the CDN cache versus traffic fetched directly from the origin.
Cached Data Breakdown Shows cached traffic categorized as:
Hit – Served directly from cache
Updating – Cache entry is being refreshed
Stale – Temporarily served outdated cache content
Non-Cached Data Represents traffic delivered from the origin due to cache misses or uncached content.
Bandwidth Analytics
Bandwidth analytics focus on the network capacity consumed by streaming delivery.
Available metrics:
Total Bandwidth Displays total bandwidth used for streaming content delivery.
Cached vs Non-Cached Bandwidth Compares bandwidth usage between cached and origin-fetched streaming traffic. High non-cached bandwidth may indicate suboptimal caching or dynamic stream behavior.
Requests
Request analytics provide visibility into demand and cache efficiency at the request level.
Available metrics:
Total Requests Shows the total number of streaming requests received.
Cache Hits vs Misses Compares requests served from cache against those forwarded to the origin. A higher hit ratio indicates better cache utilization and reduced origin load.
Status Codes
Status code analytics help identify delivery errors and request-level issues.
Metrics include:
Total Requests Total number of HTTP requests for streaming content.
Status Code Distribution Breakdown of responses by status code category:
2xx – Successful responses
3xx – Redirects
4xx – Client-side errors
5xx – Server-side errors
Monitoring these values helps detect misconfigurations, origin failures, or routing issues.
Error Logs
Error Logs provide request-level diagnostics for streaming delivery issues. They help identify problems such as failed segment delivery, unavailable media files, origin errors, or playback interruptions.
Use Error Logs to correlate delivery issues with traffic spikes, cache behavior, or origin response problems.
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