Edge Architecture utilizes a tiered architecture to move data as close to the end user as possible while protecting the origin from traffic spikes.
+-------------------+
| Developer |
| (npm/docker pull) |
+---------+---------+
|
v
+-------------------+
| Anycast / Geo-DNS |
+---------+---------+
| (Routes to nearest PoP)
v
+-----------------------------------------------------------+
| EDGE PoP |
| |
| +-------------+ +---------------+ +--------------+ |
| | Edge Compute|--->| L1 Cache | | WAF / DDoS | |
| | (Auth/Route)| | (Memory/NVMe) | | Protection | |
| +-------------+ +-------+-------+ +--------------+ |
+-----------------------------|-----------------------------+
| (Cache Miss)
v
+-----------------------------------------------------------+
| REGIONAL SHIELD CACHE |
| +-----------------------------------------------------+ |
| | L2 Cache (High Capacity SSD, Request Collapsing) | |
| +--------------------------+--------------------------+ |
+-----------------------------|-----------------------------+
| (Cache Miss)
v
+-----------------------------------------------------------+
| ORIGIN INFRASTRUCTURE |
| +--------------------+ +------------------------+ |
| | Blob Storage | | Global Metadata DB | |
| | (S3 / GCS) | | (Spanner / DynamoDB) | |
| +--------------------+ +------------------------+ |
+-----------------------------------------------------------+
To achieve this scale, the technology stack must be highly concurrent and lightweight:
- Edge Routing & Proxy: NGINX, Envoy, or Rust-based proxies to handle millions of concurrent TCP connections and perform TLS termination.
— Edge Compute: WebAssembly (Wasm) or V8 Isolates running directly on the CDN edge to execute custom logic like authentication, A/B testing, and request filtering without routing back to the origin.
— Caching Layer: Varnish or custom memory-mapped file systems for L1 edge caching, backed by high-capacity NVMe drives for L2 regional shields.
— Data & Origin: Geographically replicated object storage (like AWS S3) for immutable package blobs, and a globally distributed database (like Google Cloud Spanner) for mutable package metadata and user entitlements.
System Data Flows
When a user pulls a package, the request follows a strict path to ensure authorization and speed:
— Resolution: The client’s DNS query hits a Geo-DNS provider, returning the Anycast IP of the nearest Edge PoP (Point of Presence).
— Edge Auth: The request reaches the Edge Proxy. An Edge Function executes immediately, verifying the user’s API token against a highly cached subset of the metadata database.
— Cache Lookup: The proxy checks the L1 Cache. If the package is found, it is returned instantly.
— Shield Fallback: On an L1 miss, the request goes to the Regional Shield. If the package is present in the L2 cache, it is returned and populated in L1.
— Origin Fetch: On an L2 miss, the shield fetches the blob from Origin Storage, caches it, and streams it back down the chain to the client.
Performance Impact Chart
This tiered networking approach reduces latency across the distribution lifecycle.
Average Response Latency (ms) by Retrieval Tier
------------------------------------------------------------
Origin Fetch |################################ (250ms)
Regional Shield L2 |########### (85ms)
Edge PoP L1 |### (20ms)
Predictive Cache |# (5ms)
------------------------------------------------------------
`