CDN#
Problem statement (interviewer prompt)
Design a global content delivery layer that replicates origin assets to edge POPs worldwide. Hot objects must be served in <50ms p99 from the nearest edge; cache invalidation must propagate in seconds; and origin egress should drop by 90%+ for static workloads.
A CDN replicates origin content to globally distributed edge POPs so clients hit a nearby cache instead of the origin.
flowchart LR
U1([User EU])
U2([User US])
U3([User APAC])
E1[Edge POP EU]
E2[Edge POP US]
E3[Edge POP APAC]
O[Origin]
U1 --> E1
U2 --> E2
U3 --> E3
E1 -. miss .-> O
E2 -. miss .-> O
E3 -. miss .-> O
classDef client fill:#dbeafe,stroke:#1e40af,stroke-width:1px,color:#0f172a;
classDef edge fill:#cffafe,stroke:#0e7490,stroke-width:1px,color:#0f172a;
classDef service fill:#fef3c7,stroke:#92400e,stroke-width:1px,color:#0f172a;
classDef datastore fill:#fee2e2,stroke:#991b1b,stroke-width:1px,color:#0f172a;
classDef cache fill:#fed7aa,stroke:#9a3412,stroke-width:1px,color:#0f172a;
classDef queue fill:#ede9fe,stroke:#5b21b6,stroke-width:1px,color:#0f172a;
classDef compute fill:#d1fae5,stroke:#065f46,stroke-width:1px,color:#0f172a;
classDef storage fill:#e5e7eb,stroke:#374151,stroke-width:1px,color:#0f172a;
classDef external fill:#fce7f3,stroke:#9d174d,stroke-width:1px,color:#0f172a;
classDef obs fill:#f3e8ff,stroke:#6b21a8,stroke-width:1px,color:#0f172a;
class U1,U2,U3 client;
class E1,E2,E3 edge;
class O service;
flowchart TB
subgraph Clients
C1([Browser])
C2([Mobile App])
end
subgraph DNS_Steering[DNS / Anycast Steering]
GDNS([GeoDNS + EDNS Client Subnet])
Any[Anycast routing<br/>BGP]
end
subgraph Edge[Edge POP, hundreds globally]
direction TB
EL[Edge L7 Proxy<br/>NGINX / Envoy / ATS]
L1[L1 Cache<br/>tmpfs / NVMe<br/>hot]
L2[L2 Cache<br/>SSD<br/>warm]
WAF[WAF / DDoS scrubbing]
BOT[Bot mgmt / TLS termination]
EW([Edge Workers<br/>WASM / JS at edge])
end
subgraph Mid[Mid / Shield Tier]
MT([Mid-tier cache<br/>regional aggregator])
end
subgraph Origin
OLB[Origin LB]
OS[Origin Storage<br/>S3 / GCS]
OAPI[Origin Dynamic API]
end
subgraph Control[Control Plane]
CP[Config / Rules]
PURGE[Purge / Invalidation<br/>tag-based + URL]
CERT[Cert Mgmt<br/>ACME / SNI]
LOG[Real-time Logs &<br/>Analytics pipeline]
end
C1 --> GDNS
C2 --> GDNS
GDNS --> Any
Any --> EL
EL --> WAF
WAF --> BOT
BOT --> EW
EW -->|cache lookup| L1
L1 -->|miss| L2
L2 -->|miss| MT
MT -->|miss| OLB
OLB --> OS
OLB --> OAPI
CP -.push config.-> EL
PURGE -.invalidate.-> L1
PURGE -.invalidate.-> L2
PURGE -.invalidate.-> MT
CERT -.certs.-> EL
EL -.access logs.-> LOG
classDef client fill:#dbeafe,stroke:#1e40af,stroke-width:1px,color:#0f172a;
classDef edge fill:#cffafe,stroke:#0e7490,stroke-width:1px,color:#0f172a;
classDef service fill:#fef3c7,stroke:#92400e,stroke-width:1px,color:#0f172a;
classDef datastore fill:#fee2e2,stroke:#991b1b,stroke-width:1px,color:#0f172a;
classDef cache fill:#fed7aa,stroke:#9a3412,stroke-width:1px,color:#0f172a;
classDef queue fill:#ede9fe,stroke:#5b21b6,stroke-width:1px,color:#0f172a;
classDef compute fill:#d1fae5,stroke:#065f46,stroke-width:1px,color:#0f172a;
classDef storage fill:#e5e7eb,stroke:#374151,stroke-width:1px,color:#0f172a;
classDef external fill:#fce7f3,stroke:#9d174d,stroke-width:1px,color:#0f172a;
classDef obs fill:#f3e8ff,stroke:#6b21a8,stroke-width:1px,color:#0f172a;
class C1,C2,GDNS client;
class Any,EL,WAF,BOT,OLB edge;
class L1,L2,OAPI,CP,PURGE,CERT service;
class EW,MT compute;
class OS storage;
class LOG obs;
Caching keys & TTLs#
- Key =
(host, path, query-allowlist, vary-headers). Cache-Control: public, max-age=...ands-maxagefor shared caches.- Stale-while-revalidate / stale-if-error for resilience.
- Range requests + byte-range slicing for large video objects.
Invalidation#
- URL purge, surrogate-key (cache-tag) purge, full purge.
- Soft purge marks stale; cleanup on next request.
Pricing/perf knobs#
- Tiered caching: edge → shield → origin (origin shielding).
- Pre-fetch hot objects to edges by analytics.
- HTTP/3 + 0-RTT for cold-start latency.
Glossary & fundamentals#
Concepts referenced in this design. Each row links to its canonical page; the tag column shows whether it is a high-level (HLD) or low-level (LLD) concept.
| Tag | Concept | What it is | Page |
|---|---|---|---|
HLD |
Load balancer / GSLB | L4/L7 traffic distribution and failover | load-balancer |
HLD |
CDN | edge caching for static assets | cdn |
HLD |
Cache strategies | cache-aside, read/write-through, eviction | caching-strategies |
HLD |
HTTP / TLS protocols | HTTP 1.1/2/3, QUIC, TLS 1.3 | http-protocols |
LLD |
Structural patterns | Adapter, Decorator, Facade, Proxy, Composite | structural-patterns |
Quick reference#
Functional requirements#
- Cache static assets globally; serve nearest POP.
- Origin shielding to reduce origin egress.
- Purge by URL, surrogate key, or full domain.
- TLS termination at edge.
- Optional: edge compute (WASM/JS), WAF, image resize at edge.
Non-functional requirements#
- Hit ratio: > 90% for static workloads.
- p99 latency: < 50 ms to nearest POP.
- Availability: 99.99% (route around POP failures via anycast).
- Throughput: Tb/s aggregate.
Capacity estimation#
- 1 PB working set, edge SSD 50 TB/POP → ~20 POPs cover hot set.
- Origin egress reduction: 95% if hit ratio = 95%.
API surface#
- HTTP origin pull (most common) or push API.
- Control API:
PUT /config,POST /purge {urls, tags}.
Data / cache key model#
key = SHA1(host + path + sorted(query_allowlist) + vary_headers)- Metadata:
etag, last-modified, expiry, surrogate-keys[].
Trade-offs#
- Push vs Pull: Pull = simple, lazy population; Push = predictable but costly to seed.
- More POPs = lower latency, higher cost, more cache fragmentation.
- Long TTL = high hit ratio but stale risk; pair with surrogate-key purge.
- Edge compute = personalization at edge but complicates caching.
Real-world refs#
- Akamai (origin shielding pioneer), Cloudflare (anycast + Workers), Fastly (instant purge, VCL), AWS CloudFront, Google Cloud CDN, Netflix Open Connect.
FAQ#
What is a CDN and why use one?#
A CDN is a network of geographically distributed edge servers that cache content close to users. It reduces latency, cuts origin egress, and absorbs traffic spikes for static and increasingly dynamic content.
How does a CDN work?#
When a user requests a URL, DNS or anycast routes them to the nearest edge POP. If the asset is cached the POP serves it directly; otherwise it fetches from origin, caches it, and serves the user.
What is the difference between CDN and origin?#
Origin is the authoritative source of truth, usually a single region or a small set of clusters. CDN is the caching layer at the edge that replicates a subset of origin content close to users.
How is CDN cache invalidated?#
Use cache-control headers with TTLs, tag-based purges, or explicit URL purges via API. Long TTLs with versioned URLs (cache busting) are the most reliable pattern at scale.
When should I not use a CDN?#
Skip a CDN for tiny single-region apps, fully dynamic uncacheable APIs with per-user data, or strict data-residency workloads where caching at foreign POPs violates compliance.
Related Topics#
- Caching Strategies: CDNs apply the same cache eviction and invalidation principles at a global edge level
- Load Balancer: CDN PoPs use load balancing internally to route requests to healthy origin servers
- HTTP Protocols: HTTP caching headers (Cache-Control, ETag) are the foundation of CDN caching behavior
Further reading#
Curated, high-credibility sources for going deeper on this topic.