Slashing Origin Bandwidth Costs with Cloudflare Cache Reserve
"Increase cache hit ratios to 99% and eliminate AWS S3 egress bills using Cloudflare Cache Reserve."
Slashing Origin Bandwidth Costs with Cloudflare Cache Reserve
In distributed web architectures, Cache Eviction is the primary driver of unexpected origin bandwidth fees. Standard CDN edge locations cache assets in volatile RAM and fast SSDs. However, when an asset is requested infrequently or local edge storage reaches capacity, that asset is evicted.
The next incoming user request results in a Cache Miss, forcing the CDN to fetch the asset back from your origin infrastructure (AWS S3, Google Cloud Storage, or EC2). This triggers:
- Origin Data Egress Fees: Substantial per-gigabyte bandwidth charges from AWS or GCP.
- Origin Resource Spikes: Compute and disk I/O load on the origin server.
Cloudflare Cache Reserve solves this problem by providing a persistent, distributed L2 storage cache across the Cloudflare network.
1. How Cache Reserve Works
Cache Reserve operates as a dedicated persistence layer between Cloudflare Edge CDN PoPs and your origin server:
- Initial Request: The asset is pulled from origin and stored in Edge Cache and Cache Reserve (backed by R2 storage technology).
- When the asset is evicted from local Edge RAM due to inactivity, subsequent requests do not reach back to AWS S3/GCP. They are retrieved directly from Cache Reserve.
- FinOps Result: Global Cache Hit Ratios increase from 75–85% to 99%+, cutting origin egress down to near-zero.
2. FinOps Financial Model: AWS S3 Origin vs. Cache Reserve
Consider an enterprise media website:
- Total Static Library: 5 TB (images, PDF documents, CSS/JS bundles, video snippets).
- Monthly Delivered Traffic: 100 TB served globally.
Scenario A: Standard CDN (80% Cache Hit Ratio)
- 20% of traffic misses cache and fetches from AWS S3.
- Egress from AWS S3: .
- AWS S3 Egress Bill (20 \times 1,000 \times \0.09 = **\1,800.00 / month**$.
Scenario B: Cloudflare CDN + Cache Reserve (99.5% Cache Hit Ratio)
- Only 0.5% of requests touch AWS S3 (500\text{ GB} \times \0.09 = \).
- Cache Reserve Storage (5 TB 75.00 / month**.
- Cache Reserve Operations = ~$10.00 / month.
- Total Monthly Cost: 75.00 + 130.00 / month.
Net Monthly Savings: 130.00 = $1,670.00 / month (92.7% reduction).
3. Configuring Cache-Control Headers for Cache Reserve
To maximize Cache Reserve persistence, configure origin headers with extended max-age and immutable directives:
HTTP/1.1 200 OK
Content-Type: application/javascript
Cache-Control: public, max-age=31536000, s-maxage=31536000, immutable
ETag: "8f3b2a-992bc"
Overriding Caching Rules via Cloudflare Workers:
export default {
async fetch(request: Request): Promise<Response> {
const url = new URL(request.url);
// Enforce persistent edge caching for static assets
if (url.pathname.startsWith('/static/') || url.pathname.startsWith('/assets/')) {
const response = await fetch(request, {
cf: {
cacheEverything: true,
cacheTtl: 31536000, // Cache for 1 year
cacheReserve: true, // Route to persistent Cache Reserve
},
});
const headers = new Headers(response.headers);
headers.set('Cache-Control', 'public, max-age=31536000, immutable');
return new Response(response.body, {
status: response.status,
statusText: response.statusText,
headers,
});
}
return fetch(request);
},
};
4. Key Performance and Cost Metrics
Monitor your Cloudflare Analytics dashboard for:
- Bandwidth Saved: Total gigabytes delivered without querying origin servers.
- Origin Latency Reduction: Origin servers experience less CPU throttling since static traffic is eliminated.
- Cache Hit Ratio (CHR): Consistent 98–99% CHR regardless of traffic volatility.
5. Architectural Recommendations
- Adopt Content Hashing: Use build pipelines that generate content hashes (e.g.,
bundle.a81f3c.js) to allow 1-yearimmutablecache lifetimes. - Downsize Origin Instances: As 99%+ of static traffic shifts away from your origin, reduce your EC2/ALB provisioned capacity to capture further savings.
About the Author
huud
@huud
Systems architect and software engineer building high-performance distributed platforms.