Cloudflare has launched Origin Range Requests, a new feature that automates byte-range request management for large files using its Pingora-based caching architecture. The update eliminates manual range-size configuration, aiming to reduce latency and inter-data-center traffic for streaming and large-object delivery workloads.
This update addresses a critical inefficiency in CDN architecture where seeking within large video files often triggered massive, unnecessary data transfers from the origin. By moving away from manual range-size configuration to a chunk-based coordinator, streaming platforms can reduce egress costs and improve playback start times for seek-heavy content like 4K video. Within the broader ecosystem, this shift toward automated cache management reduces the technical debt for engineers who previously had to balance memory pressure against origin load. Watch for Cloudflare to make this the default behavior for specific media file types to further reduce global network waste.
Cloudflare has launched Origin Range Requests, a new feature that automates byte-range management for large files using Pingora-based architecture. By replacing manual cache-slicing with a chunk-based coordinator, the update reduces time to first byte by 50% and lowers inter-data-center traffic, significantly improving playback performance and efficiency for high-bandwidth streaming platforms.
It is a new feature that automates byte-range management for large files, replacing manual cache-slicing methods with a more efficient, chunk-based coordinator logic built on Pingora.
Internal testing on R2 storage demonstrated a 50% reduction in p99 time to first byte for both cache hits and misses.
It reduces egress costs and improves playback start times for seek-heavy content like 4K video by eliminating unnecessary data transfers from the origin.
The new logic allows a single request to combine cached data, in-flight downloads, and origin fetches, streamlining how large files are delivered.
Mark Donnigan covers this story in today's StreamingMeme Podcast episode.
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