Edge Computing vs Cloud Computing: When to Use Each

TL;DR — Edge computing runs code at CDN points of presence close to users (sub-10ms). Cloud computing runs code in centralized data centers close to your database (1-100ms depending on geography). Use edge for static content, auth checks, and redirects. Use cloud for anything that touches a database. Most apps should use both layers.

What is edge computing?

Your code runs at 40+ locations worldwide instead of one data center. When a user in Tokyo makes a request, it's handled by a server in Tokyo — not Virginia.

Good for: Static pages, A/B test routing, authentication checks, geolocation redirects, header manipulation, image optimization, caching logic.

Bad for: Database queries, writes, transactions, anything that needs state.

What is cloud computing?

Your code runs in a centralized data center alongside your database, cache, and storage. All internal calls are sub-millisecond.

Good for: API endpoints, database operations, background jobs, compute-heavy tasks, anything stateful.

Bad for: Latency-sensitive static content delivery.

The decision framework

Hybrid architecture (the right answer for most apps)

Most production apps use both layers:

User → Edge (CDN + edge logic) → Cloud (API + database)

Edge layer handles:

• Static assets (JS, CSS, images, fonts) — cached at the edge
• Authentication token validation — reject invalid tokens before they hit your API
• Geolocation routing — redirect .com/shop to region-specific store
• A/B test bucketing — assign variant at the edge, pass header to origin
• Rate limiting — block abusive IPs before they reach your compute
• Cache-control — serve cached API responses for public data

Cloud layer handles:

• API endpoints that query databases
• Write operations
• Background processing
• WebSocket connections
• Business logic

On RaidFrame, this hybrid is automatic:

services:
  api:
    type: web
    port: 3000
    cdn:
      enabled: true
      cache_static: true
      cache_rules:
        - path: "/api/products"
          ttl: 60s
        - path: "/api/categories"
          ttl: 300s

Static assets are cached at the edge. Dynamic API responses can be cached with configurable TTLs. Everything else goes to your cloud service.

When edge-only works

• Static sites — HTML, CSS, JS served from CDN. No server needed.
• Landing pages — pre-rendered, cached everywhere.
• Documentation — static site generator output.
• Marketing sites — rarely changes, latency matters for bounce rate.

services:
  site:
    type: static
    build:
      command: npm run build
      output_dir: ./dist

When cloud-only works

• Internal tools — users are in one region, latency doesn't matter.
• API-heavy apps — every request hits the database anyway.
• Batch processing — no user-facing latency concern.
• B2B SaaS — users are concentrated in specific regions.

The edge computing trap

Cloudflare Workers and Vercel Edge Functions market edge as the default. But:

• Edge functions can't access your database without adding 50-200ms of cross-region latency
• Hyperdrive, connection poolers, and edge-compatible databases add complexity to solve a problem that "run your code next to your database" already solves
• V8 isolates (Workers) don't support the full Node.js runtime
• Edge cold starts can be slower than a well-scaled cloud service

The counterintuitive truth: running your API in the same data center as your database (5ms total) is usually faster than running it at the edge (1ms to user + 80ms to database = 81ms total).

FAQ

Do I need edge if I'm in one region?

For static assets, yes — your CDN still helps users far from your data center. For API responses, no — the overhead of edge routing isn't worth it.

Is RaidFrame edge or cloud?

Cloud-first with built-in edge caching. Your services run in centralized data centers close to your databases. Static assets and cacheable responses are served from 40+ edge locations. Best of both.

Should I use Cloudflare in front of RaidFrame?

Not necessary. RaidFrame includes CDN, SSL, and DDoS protection. Adding Cloudflare adds another hop and potential caching conflicts.

What about edge databases?

Solutions like Turso (SQLite at the edge) work for read-heavy, single-user workloads. For multi-user SaaS with concurrent writes, centralized PostgreSQL remains the better choice.

When does edge make a real latency difference?

When your response is entirely self-contained (no database call) and sub-50ms matters — e.g., ad serving, A/B test routing, bot detection. For typical web apps, the difference between 20ms (edge) and 80ms (cloud) is imperceptible to users.

Related reading

• Auto-Scaling Cloud Infrastructure
• Multi-Region Deployment Strategy
• Kubernetes vs Serverless in 2026