Agent Skills: 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.

UncategorizedID: travisjneuman/.claude/edge-computing

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pnpm dlx add-skill https://github.com/travisjneuman/.claude/tree/HEAD/skills/edge-computing

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skills/edge-computing/SKILL.md

Skill Metadata

Name
edge-computing
Description
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.

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