Fastly × Python Software Foundation (PyPI)
98-99% cache hit rate, reducing backend load from 100,000 to 500-1,000 requests per second
Overwhelmed and exposed to staying open and protected at scale
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The story earns its Resilience tag by centering on threats that could break an open and free service, not on growth numbers. The cache hit rate metric does double duty, illustrating both the efficiency gain and the security rationale for offloading traffic before it reaches the backend. The decade-long relationship gives the piece credibility that a first-year case study cannot manufacture.
Use a single infrastructure metric (98-99% cache hit rate) to simultaneously prove performance and justify security architecture, letting one number carry two arguments at once.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Fastly's published work; we link to the source and lead with our analysis.