Amazon Cloudfront
🔗 Quicklinks (Bookmark):
Cost Explorer: AWS Cloudfront Costs by API
Cost Explorer (Select Transfer in Usage Type): AWS Cloudfront Datatransfer Costs & Usage

Cost Explorer: AWS Cloudfront Invalidations (URL) Costs & Usage
Savings: AWS Cloudfront savings Bundle
Cloudfront Monitoring: AWS Cloudfront Popular URLs Dashboard
Cloudfront Monitoring: AWS Cloudfront Usage Dashboard
Cloudfront Queries: Query CUR on Athena
Amazon CloudFront is AWS’s global CDN for accelerating web apps, APIs, and media with 700+ points of presence and built-in DDoS protection (Shield Standard). It’s fast—but bills can spike from data transfer out, request volume, edge compute (Functions/Lambda@Edge), invalidations, and over-broad geography. This page blends Grok’s outline with a pragmatic FinOps playbook, including Security Savings Bundle details.
🚀 What is CloudFront?
CloudFront securely delivers static/dynamic content, video, software, and APIs with low latency from a global edge network. It integrates tightly with S3, ALB/EC2/ECS, and media origins—origin→CloudFront transfer from AWS origins is $0/GB—and supports edge compute for request/response customization.
Features
Global edge network with intelligent routing and caching
Edge compute: CloudFront Functions (ultra-light JS) and Lambda@Edge (full Node.js)
Built-in security: AWS Shield Standard at no extra cost; WAF/Shield Advanced optional
HTTPS by default; signed URLs/cookies, Origin Access Control (OAC/OAI), field-level encryption
Free tier for low/steady workloads
Common content types
Static/dynamic web, API traffic, streaming/live/on-demand video, downloads/game updates/firmware, IoT data
⚙️ Price Classes — pick the right coverage
All
Full global network (700+ PoPs)
Truly global audiences and latency-sensitive media
200
Broad global, excludes some higher-cost/remote regions
Balanced cost/performance for worldwide but concentrated audiences
100
Major markets (NA/EU plus select regions)
Cost-focused when most users are in North America/Europe
Start with the narrowest Price Class that meets your latency SLOs; expand only where data shows a need.
🧬 Edge compute options
CloudFront Functions
Header/cookie rewrites, URL normalization, simple auth/AB tests
Sub-ms, ultra-low cost; no network calls/body access; runs at edge location
Lambda@Edge
Complex logic: body transforms, origin selection, external calls
Higher cost & latency; code replicated globally; runs at regional edge cache
Rule of thumb: Prefer Functions for simple logic; use Lambda@Edge only when you need body/network access.
🏛️ Origins & deployment
S3
Static sites/assets/downloads
Pair with OAC; origin fetches to CloudFront are free
ALB/EC2/ECS/EKS
Dynamic sites, APIs, personalized content
Cache what you can; still benefits from free origin→edge transfer
MediaPackage/MediaStore
Live/VOD streaming
Segment-friendly caching; consider Origin Shield for origin offload
All distributions support HTTPS; enable field-level encryption for sensitive headers.
🧠 CloudFront optimization strategy
Quick wins
Put CloudFront in front of AWS origins to zero out origin→edge transfer
Choose the lowest Price Class that meets user latency
Prefer CloudFront Functions over Lambda@Edge for light logic
Caching & behaviors
Long TTLs for immutable assets; use cache policies to vary only on required headers/cookies/query params
Enable Brotli/Gzip compression; use Origin Shield to reduce origin hits
Design path-based behaviors (e.g.,
/api/*vs/static/*) and apply appropriate TTLs
Traffic control & security
Geo-restrict regions you don’t serve; block obvious abuse with AWS WAF
Use signed URLs/cookies for private content; keep S3 buckets private via OAC/OAI
Invalidations & housekeeping
Batch invalidations (the first 1,000 paths/month are free); avoid wildcard nukes
Target >80% cache hit ratio; analyze top URLs, regions, and status codes monthly
💸 Pricing model & the Security Savings Bundle
Pay-as-you-go
Data transfer out (tiered by geo), HTTP/HTTPS requests, optional features (real-time logs, FLE), edge compute invocations
Baseline pricing for most workloads
Free Tier
1 TB data out + 10M HTTP/HTTPS requests + 2M CloudFront Functions invocations/month
Great for dev/low-volume
CloudFront Security Savings Bundle
Commit to a monthly CloudFront spend for 12 months and get up to ~30% savings across CloudFront usage types. Includes AWS WAF usage credits up to ~10% of your monthly commit.
Self-service signup; your regular usage draws down the commit; overages billed at standard rates. Shield Advanced not included
Bundle cheat-sheet
Term: 12 months; billed on a monthly spend commitment
Applies to: Data transfer out, requests, Functions, Lambda@Edge, logging, etc.
Security kicker: WAF credits (up to ~10% of your commit) included
Good fit when: Your CloudFront spend is predictable/stable month-to-month
📊 Cost controls to turn on
Geo reports + Price Class to align coverage with audience demand
Cache hit ratio monitoring; fix low-hit paths with cache keys/TTLs
Budgets/alerts for DTO spikes, invalidation overages, and edge compute invocations
Real-time logs for hot-path debugging and bot analysis
🔒 Security & compliance
Shield Standard is included; layer AWS WAF for app rules (bot control, rate limiting, OWASP)
OAC keeps S3 private; use mTLS/signed URLs/cookies for private delivery
Field-level encryption for sensitive headers; log delivery to S3 with lifecycle rules
📈 Monitoring & tools
CloudWatch:
Requests,BytesDownloaded,4xx/5xx,CacheHitRateCloudFront reports: popular objects, geos, user agents, origin metrics
Real-time logs: near-instant request detail for analysis (deliver to Kinesis/Data Firehose)
Cost Explorer/CUR: break down DTO by region tier, requests, Functions/Lambda@Edge
🧪 Practical selection cheat-sheet
Mostly NA/EU traffic → Start Price Class 100; expand only where latency proves it
Simple header/URL logic → CloudFront Functions
Complex body/origin logic → Lambda@Edge (with guardrails)
Video/media → Pair with MediaPackage/Origin Shield, tune segment caching
API behind ALB → Use cache policies to vary on auth headers minimally; enable compression
✅ CloudFront FinOps Checklist
🧠 AWS CloudFront Cost Optimization Challenges
CloudFront is “cheap” until request volume, DTO to expensive geos, invalidations, and edge compute sneak up on you. Here are the non-trivial traps teams hit—and fixes that actually move the needle.
Q1: We used Price Class All by default. Are we overpaying?
Many workloads don’t need every edge location. Serving from high-cost regions inflates DTO.
✅ Solution
Start with Price Class 100 (NA/EU) or 200; expand only where latency data requires it.
Track p95 latency and CacheHitRate by country/region before widening coverage.
Q2: Our Data Transfer Out (DTO) is huge—and we’re unsure about origin egress.
Viewer DTO is unavoidable, but origin→edge behavior differs by origin type.
✅ Solution
Front AWS origins (S3/ALB/EC2) with CloudFront to eliminate origin→edge transfer.
Compress (Brotli/Gzip), minimize payloads, and increase TTLs to reduce bytes delivered.
If using non-AWS origins, model & monitor that origin’s egress cost explicitly.
Q3: Deploys cause invalidation storms.
Frequent invalidations add up after the monthly free tier and can degrade cache efficiency.
✅ Solution
Use content-hashed filenames for static assets so you rarely invalidate.
Batch invalidations and avoid
/*. Keep under the free 1,000 paths/month when possible.
Q4: Lambda@Edge is getting expensive.
Running heavy logic at the edge across all requests drives compute and duration costs.
✅ Solution
Move simple logic (URL/header/cookie rewrites, A/B flags) to CloudFront Functions.
Keep Lambda@Edge only for use-cases needing body access, network calls, or complex transforms.
Consolidate event hooks (e.g., viewer-request vs origin-response) to reduce invocations.
Q5: Our Cache Hit Ratio (CHR) is stuck ~60%.
Over-varying cache keys and short TTLs cause misses and extra origin load.
✅ Solution
Tighten cache keys: vary only on required headers/cookies/query parameters.
Use long TTLs for immutable assets; verify
Cache-Controlvs min/max TTLs.Add Origin Shield to reduce miss fan-out and improve hit locality.
Q6: Real-time logs quietly added dollars.
Per-line billing (plus streaming/processing) adds up if left on all the time.
✅ Solution
Enable real-time logs only during targeted debug windows or with sampling.
Use standard logs/metrics for day-to-day; add budgets/alerts on log volume.
Q7: Our origin melts even with CloudFront in front.
Low CHR, many behaviors, or globally distributed demand can overwhelm origins.
✅ Solution
Enable Origin Shield and pick a shield Region close to your origin.
Normalize cache keys; raise TTLs on cachable routes; validate ETags/conditional GETs.
Re-examine behavior split (
/static/*vs/api/*) to maximize caching.
Q8: “Our API is personalized, so we can’t cache.” Any savings left?
Treating APIs as fully uncacheable leaves DTO and request charges untouched.
✅ Solution
Cache fragments: public endpoints, metadata, per-user blocks with short TTLs.
Keep vary lists tight (e.g., a single auth header/cookie) to avoid cache explosion.
Compress responses and minimize payloads to reduce DTO even on misses.
Q9: We have predictable traffic—are we missing a bigger discount?
Teams on steady spend often leave list-price money on the table.
✅ Solution
Enroll in the CloudFront Security Savings Bundle: 12-month monthly commit for CDN savings, plus WAF credits.
Commit at a level you consistently hit; avoid over-committing if traffic is volatile.
Re-size the commit at renewal based on actuals.
Q10: If we raise CHR, will CloudFront cost automatically drop?
Higher CHR reduces origin load, but CloudFront still bills viewer DTO/requests.
✅ Solution
Reduce bytes delivered (compression, image formats/sizing) and expensive regions (Price Class).
Reduce request counts via longer TTLs and better caching on semi-static routes.
Use reports to correlate hot paths with cost and adjust behaviors accordingly.
📚 Reference
Features and pricing change; validate specifics for your Region in AWS pricing/docs before rollout.
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