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How we could save petabytes of cache storage with Zstandard and Pingora

Cloudflare Blog · September 1, 2026

This Cloudflare article offers a direct pathway to significantly extending the utility of your existing server and caching infrastructure, turning current storage constraints into ample capacity. The piece details an experiment where Cloudflare explored applying Zstandard compression directly within their caching layer, specifically using their Pingora proxy framework, demonstrating that this approach could save petabytes of storage. The core finding is that dynamic compression of cached content, even that which is already compressed by origin servers, yields substantial further gains, promising more efficient use of hardware and reduced operational costs. For developers and operators, this means rethinking how effectively your web services are leveraging their resources. Consider a mid-sized e-commerce platform in Austin, Texas, specializing in custom apparel. By implementing dynamic compression on their cached product images and static assets, they could serve a richer, faster experience to customers without needing to immediately invest in more expensive content delivery network (CDN) tiers or expand their internal storage footprint. Similarly, an indie SaaS founder in San Francisco, developing an analytics dashboard, could find that applying this technique to stored user data or generated reports allows them to retain more historical information on their current server setup, deferring costly infrastructure upgrades and improving data access speeds for clients. Even a non-profit organization managing a large media archive in New York City could use this method to store more high-resolution video and audio files on their current budget, enhancing accessibility for researchers and the public. To capitalize on this, consider an internal audit of your application's caching strategy. This week, identify a segment of your application’s traffic that involves frequently accessed but relatively static content—perhaps a set of documentation pages, product descriptions, or API responses. Explore how you might integrate Zstandard compression into your application's caching layer or content delivery pipeline. Even a simple local prototype using a modern proxy server or a custom script could reveal the potential storage savings and performance benefits, giving you concrete data to justify a more extensive implementation.

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