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全部技能

CDN Architecture

Global content delivery for fast, reliable web experiences

⬢ 層級 2技術
中等
薪資影響
6 個月
學習時長
中等
難度
2
職業
一覽

CDN Architecture is mastery of global content delivery, edge caching, and origin infrastructure: cache-control headers, cache key strategies, surrogate-key invalidation, origin shielding, edge compute (Workers/Compute@Edge), regional failover, and cost optimization. Career path: Practitioner (static asset CDN, $90-120k) → Intermediate (cache strategies, origin optimization, $120-155k) → Advanced (edge computing, multi-CDN, $155-210k). Market tools: Cloudflare (300+ PoPs, Workers), Fastly (edge compute leader), AWS CloudFront (deepest AWS integration), Bunny.net (performance-per-dollar), Akamai (enterprise scale).

什麼是 CDN Architecture

1. Week 1, CDN Fundamentals. Understand PoP (point of presence) networks, latency reduction, caching at edge. Measure latency from multiple geos using WebPageTest. Resource: Cloudflare Learning Center intro, Fastly docs. 2. Week 2, Cache Headers & Configuration. Study Cache-Control (public, max-age, s-maxage), surrogate-key/cache-tags. Configure basic CDN for a static site (HTML + assets). Resource: Cloudflare Cache Rules, Fastly VCL intro.

🔧 工具與生態
CloudflareFastlyAWS CloudFrontBunny.netAkamaiVercel Edge NetworkCloudflare WorkersFastly Compute@EdgeAWS Lambda@EdgeVarnishNGINX cachingHTTP cache headers

💰 各地區薪資

地區初級中級高級
USA$100,000$150,000$210,000
UK£65,000£95,000£140,000
EU€70,000€105,000€155,000
CANADACA$115,000CA$165,000CA$235,000

🎯 使用 CDN Architecture 的職業

Devops Engineer
Network Engineer

❓ 常見問題

CDN vendor choice in 2026, Cloudflare vs Fastly vs CloudFront vs Bunny?
Cloudflare: best all-around, 300+ PoPs, Workers free tier, DDoS included, $20-200/mo. Fastly: edge compute leader, bare-metal for ultra-low latency, expensive ($0.12/req). AWS CloudFront: deepest integration with S3/Lambda, regional discount, pay-per-GB. Bunny.net: best performance-per-dollar ($0.01/GB), no API rate limits, smaller brand. Pick: AWS-native stacks → CloudFront; startups + DX → Cloudflare; performance obsessive → Fastly; price-sensitive → Bunny.
When should I use edge compute (Workers/Compute@Edge) vs origin?
Edge compute: A/B testing, image resizing, auth, geo-routing, request rewriting, <100ms operations. NO database queries, file I/O, or >10MB payloads. Origin: business logic, DB calls, complex state. Hybrid: edge handles 80% (cache hits + transformations), origin handles the 20% (cache misses + mutations). Cost: Workers $0.50/1M requests; Compute@Edge $0.12/request is pricey.
Cache-Control vs Surrogate-Key vs cache tags, which invalidation strategy?
Cache-Control (public/max-age/s-maxage) is HTTP standard, works everywhere. Surrogate-Key is Fastly/Akamai, allows tag-based instant purge (e.g., purge all posts by author). Cache tags are Cloudflare's version. For content that changes together: use surrogate-key/tags + instant purge. For time-based expiry: Cache-Control s-maxage. Hybrid: s-maxage=86400 (24h default) + surrogate-key=author:123 (purge on update).
Image CDN strategy, separate domain or same CDN?
Separate domain (e.g., cdn.example.com for images, api.example.com for API): cleaner cache isolation, easier resize-on-upload, avoids cookie bloat. Same CDN with path-based routing: simpler ops, one vendor relationship. Modern: Vercel Image Optimization or Cloudflare Image Resizing (on-demand transforms). For high volume: dedicated image CDN (Imgix, Cloudinary) with your CDN in front.
Multi-CDN load balancing, is it worth the complexity?
Yes if: >100k rps, region-specific SLAs, vendor incident risk, negotiating volume discounts. How: GeoDNS (Route53, Dyn) routes to primary/secondary CDNs per region. Or: failover at origin (try Fastly → fallback CloudFront). Overhead: 2-5% extra cost for dual-ingestion, operator complexity. Small-mid companies: stick to one CDN, prioritize cache hit rate.
Image optimization at edge, resize/compress/format in real-time?
YES, if you have 100+ image variants. Tools: Cloudflare Image Resizing ($5/month + compute), Fastly Image Optimizer, AWS Lambda@Edge + Sharp. Workflow: upload original to S3 → querystring params (?w=400&h=300&format=webp) → edge resizes on first request → cache as new variant. Saves 60-80% bandwidth vs serving full-res. Tradeoff: CPU cost + cold-start latency on first resize.
CDN cost optimization, how to not get surprised by the bill?
Set alerts on data transfer. Estimate: 1M users × 2MB per visit × 0.015/GB (CloudFront) = $30/month. Tactics: (1) Enable compression (gzip/brotli, save 60-70%), (2) Immutable filenames + long max-age (cache hits), (3) Lazy-load images (defer non-critical), (4) Origin shielding (Fastly/CloudFront, reduce 404s from cache misses), (5) Smart TTLs (static: 1yr, HTML: 5min, API: 0min). Monitor hit rates; <70% = misconfigured.

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