travisjneuman/.claude
edge-computing
Edge computing with Cloudflare Workers, Deno Deploy, Bun, Vercel Edge Functions, AWS Lambda@Edge, and edge databases (Turso, D1, DynamoDB Global Tables). Use when building low-latency edge applications, edge-side rendering, or globally distributed compute.
Design & UI
Databases
Use judgment
Installs
89
Stars
96
Security
No audit
Freshness
Unknown
Updated
—
First seen Mar 30, 2026
Installation
Project
Global
Entire repo
Entire repo (global)
$
npx skills add travisjneuman/.claude --skill edge-computing
Copy
SKILL.md
Edge Computing
Platforms
Platform
Runtime
Cold Start
Limits
Cloudflare Workers
V8 isolates
~0ms
128MB, 30s CPU
Deno Deploy
V8 isolates
~0ms
512MB, 50ms CPU
Vercel Edge Functions
V8 isolates
~0ms
128MB, 25s
AWS Lambda@Edge
Node.js
~100ms
128MB, 5s (viewer)
Bun
JavaScriptCore
N/A (server)
No hard limits
Cloudflare Workers
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
// KV storage
const cached = await env.KV.get(url.pathname);
if (cached) return new Response(cached, { headers: { 'Cache-Control': 'max-age=60' } });
// D1 database
const { results } = await env.DB.prepare('SELECT * FROM users WHERE id = ?')
.bind(url.searchParams.get('id'))
.all();
// Durable Objects for state
const id = env.COUNTER.idFromName('global');
const obj = env.COUNTER.get(id);
const count = await obj.fetch(request);
return new Response(JSON.stringify(results));
}
};
Edge Databases
Database
Type
Best For
Cloudflare D1
SQLite
Workers-native, SQL at edge
Turso
libSQL (SQLite)
Multi-region replicas, embedded
Cloudflare KV
Key-value
Simple caching, config
Durable Objects
Stateful
Real-time, coordination, counters
Upstash Redis
Redis
Rate limiting, sessions at edge
Deno Deploy
Deno.serve(async (req: Request) => {
const kv = await Deno.openKv();
const url = new URL(req.url);
if (req.method === "POST") {
const body = await req.json();
await kv.set(["items", crypto.randomUUID()], body);
return new Response("Created", { status: 201 });
}
const entries = kv.list({ prefix: ["items"] });
const items = [];
for await (const entry of entries) items.push(entry.value);
return Response.json(items);
});
Patterns
Edge-side rendering: SSR at the edge for <50ms TTFB globally
Smart routing: Geo-aware request routing based on request.cf.country
Edge caching: Cache API for fine-grained control, stale-while-revalidate
Rate limiting: Sliding window counters with Durable Objects or Upstash
A/B testing: Edge-side feature flags without origin round-trips
Image optimization: On-the-fly transforms at edge (Cloudflare Images, Imgproxy)
Constraints & Gotchas
No Node.js APIs (fs, net, etc.) in V8 isolate runtimes
No native modules or binaries (use WASM for compute-heavy work)
Limited CPU time per request — offload heavy work to queues
Cold starts are near-zero for isolates but real for Lambda@Edge
Database connections: use HTTP-based clients, not TCP connection pools