CTO ANALYSIS
Cache hit rate alone can hide unnecessary origin work. For large objects, the useful question is how many upstream bytes and requests are needed to satisfy the bytes a user actually consumes.
Recent context: Cloudflare published the linked announcement on 2026-10-23. The discussion below is CTO Tech Times analysis, rather than a claim of hands-on testing.
Measure amplification at the origin
Compare requested bytes with fetched bytes for video seeking, interrupted downloads, and artifact access. Include concurrent requests for overlapping regions of the same object. A cache configuration can improve a top-level hit metric while still causing avoidable egress or long waits for the first useful byte.
Protect correctness during change
Check authorization, content versioning, validators, and partial-response behavior before changing cache rules. Test updated objects and clients that resume a download after interruption. If two versions can be combined incorrectly, a bandwidth saving has become a data-integrity problem.
Use a representative pilot
Choose an object family with meaningful traffic and a known baseline. Compare origin bandwidth, first-byte latency, error rate, and cache storage over a realistic period. Keep an unchanged comparison group where possible. Expand only after the team can explain both the gain and the cases that did not improve; a vendor result is a hypothesis for your system.
Primary source: Cloudflare: original announcement (2026-10-23). Sources checked November 3, 2026.