Terminal.skills
Use Cases/Build an Edge Function Runtime

Build an Edge Function Runtime

Build an edge function runtime with V8 isolate execution, cold start optimization, request routing, resource limits, logging, and deployment management for serverless edge computing.

#redis#caching#database#pub-sub#queues
Works with:claude-codeopenai-codexgemini-clicursor
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The Problem

Emma leads platform at a 20-person company serving users across 40 countries. Their API runs in US-East — users in Tokyo experience 200ms latency just from network distance. They tried Cloudflare Workers but need custom runtime features: database connections, shared state between requests, and longer execution times. Vercel Edge Functions have size limits that break their ML inference. They need their own edge runtime: deploy functions close to users, sub-millisecond cold starts, resource isolation, and the ability to run custom logic at the edge.

Step 1: Build the Edge Runtime

typescript
// src/edge/runtime.ts — Edge function runtime with V8 isolates and deployment management
import { pool } from "../db";
import { Redis } from "ioredis";
import { randomBytes } from "node:crypto";
import { Worker } from "node:worker_threads";

const redis = new Redis(process.env.REDIS_URL!);

interface EdgeFunction {
  id: string;
  name: string;
  code: string;
  version: number;
  routes: string[];           // URL patterns: ["/api/users/*", "/webhook"]
  config: {
    memoryLimitMb: number;    // max 128MB
    timeoutMs: number;        // max 30000
    envVars: Record<string, string>;
    regions: string[];        // ["us-east", "eu-west", "ap-tokyo"]
  };
  status: "active" | "deploying" | "disabled";
  deployedAt: string;
  createdBy: string;
}

interface ExecutionResult {
  status: number;
  headers: Record<string, string>;
  body: string;
  executionTimeMs: number;
  region: string;
  coldStart: boolean;
  memoryUsedMb: number;
}

interface FunctionMetrics {
  invocations: number;
  avgLatency: number;
  p99Latency: number;
  errors: number;
  coldStarts: number;
  memoryPeak: number;
}

// Warm isolate pool for fast execution
const isolatePool = new Map<string, { worker: Worker; lastUsed: number; requestCount: number }>();
const MAX_POOL_SIZE = 50;
const ISOLATE_TTL = 300000;  // 5 min idle before eviction

// Deploy an edge function
export async function deploy(params: {
  name: string;
  code: string;
  routes: string[];
  config?: Partial<EdgeFunction["config"]>;
  createdBy: string;
}): Promise<EdgeFunction> {
  const id = `ef-${randomBytes(6).toString("hex")}`;

  // Validate code (syntax check)
  try { new Function(params.code); }
  catch (e: any) { throw new Error(`Syntax error in function: ${e.message}`); }

  // Get current version
  const { rows: [existing] } = await pool.query(
    "SELECT version FROM edge_functions WHERE name = $1 ORDER BY version DESC LIMIT 1",
    [params.name]
  );
  const version = (existing?.version || 0) + 1;

  const fn: EdgeFunction = {
    id, name: params.name, code: params.code, version,
    routes: params.routes,
    config: {
      memoryLimitMb: 128,
      timeoutMs: 10000,
      envVars: {},
      regions: ["us-east"],
      ...params.config,
    },
    status: "active",
    deployedAt: new Date().toISOString(),
    createdBy: params.createdBy,
  };

  await pool.query(
    `INSERT INTO edge_functions (id, name, code, version, routes, config, status, deployed_at, created_by)
     VALUES ($1, $2, $3, $4, $5, $6, 'active', NOW(), $7)`,
    [id, params.name, params.code, version, JSON.stringify(params.routes),
     JSON.stringify(fn.config), params.createdBy]
  );

  // Update route table in Redis for fast matching
  for (const route of params.routes) {
    await redis.set(`edge:route:${route}`, JSON.stringify({ functionId: id, name: params.name }));
  }

  // Evict old isolates for this function
  for (const [key, isolate] of isolatePool) {
    if (key.startsWith(params.name + ":")) {
      isolate.worker.terminate();
      isolatePool.delete(key);
    }
  }

  return fn;
}

// Execute function for incoming request
export async function execute(
  functionName: string,
  request: { method: string; url: string; headers: Record<string, string>; body?: string }
): Promise<ExecutionResult> {
  const start = Date.now();
  const region = process.env.REGION || "us-east";

  // Get function code
  const fn = await getFunction(functionName);
  if (!fn) throw new Error(`Function '${functionName}' not found`);
  if (fn.status !== "active") throw new Error(`Function '${functionName}' is ${fn.status}`);

  // Get or create isolate
  const poolKey = `${functionName}:${fn.version}`;
  let isolate = isolatePool.get(poolKey);
  let coldStart = false;

  if (!isolate) {
    coldStart = true;
    // Evict oldest if pool full
    if (isolatePool.size >= MAX_POOL_SIZE) evictOldest();

    const worker = createWorker(fn);
    isolate = { worker, lastUsed: Date.now(), requestCount: 0 };
    isolatePool.set(poolKey, isolate);
  }

  isolate.lastUsed = Date.now();
  isolate.requestCount++;

  // Execute with timeout
  const result = await executeInWorker(isolate.worker, request, fn.config.timeoutMs);
  const executionTimeMs = Date.now() - start;

  // Track metrics
  await redis.hincrby(`edge:metrics:${functionName}`, "invocations", 1);
  await redis.hincrby(`edge:metrics:${functionName}`, "totalLatency", executionTimeMs);
  if (coldStart) await redis.hincrby(`edge:metrics:${functionName}`, "coldStarts", 1);
  if (result.status >= 500) await redis.hincrby(`edge:metrics:${functionName}`, "errors", 1);

  return { ...result, executionTimeMs, region, coldStart, memoryUsedMb: 0 };
}

function createWorker(fn: EdgeFunction): Worker {
  const workerCode = `
    const { parentPort } = require('worker_threads');
    const handler = (function() { ${fn.code}; return typeof fetch === 'function' ? fetch : typeof handler === 'function' ? handler : () => new Response('No handler'); })();
    parentPort.on('message', async (msg) => {
      try {
        const req = msg.request;
        const response = await handler(req);
        parentPort.postMessage({ status: response.status || 200, headers: response.headers || {}, body: response.body || '' });
      } catch (err) {
        parentPort.postMessage({ status: 500, headers: {}, body: err.message });
      }
    });
  `;
  return new Worker(workerCode, { eval: true, resourceLimits: { maxOldGenerationSizeMb: fn.config.memoryLimitMb } });
}

async function executeInWorker(
  worker: Worker,
  request: any,
  timeoutMs: number
): Promise<{ status: number; headers: Record<string, string>; body: string }> {
  return new Promise((resolve, reject) => {
    const timeout = setTimeout(() => reject(new Error("Function execution timed out")), timeoutMs);
    worker.once("message", (result) => { clearTimeout(timeout); resolve(result); });
    worker.postMessage({ request });
  });
}

function evictOldest(): void {
  let oldest: string | null = null;
  let oldestTime = Infinity;
  for (const [key, isolate] of isolatePool) {
    if (isolate.lastUsed < oldestTime) { oldest = key; oldestTime = isolate.lastUsed; }
  }
  if (oldest) {
    isolatePool.get(oldest)!.worker.terminate();
    isolatePool.delete(oldest);
  }
}

async function getFunction(name: string): Promise<EdgeFunction | null> {
  const cached = await redis.get(`edge:fn:${name}`);
  if (cached) return JSON.parse(cached);
  const { rows: [row] } = await pool.query(
    "SELECT * FROM edge_functions WHERE name = $1 AND status = 'active' ORDER BY version DESC LIMIT 1",
    [name]
  );
  if (row) {
    const fn = { ...row, routes: JSON.parse(row.routes), config: JSON.parse(row.config) };
    await redis.setex(`edge:fn:${name}`, 60, JSON.stringify(fn));
    return fn;
  }
  return null;
}

// Get function metrics
export async function getMetrics(functionName: string): Promise<FunctionMetrics> {
  const stats = await redis.hgetall(`edge:metrics:${functionName}`);
  const invocations = parseInt(stats.invocations || "0");
  return {
    invocations,
    avgLatency: invocations > 0 ? parseInt(stats.totalLatency || "0") / invocations : 0,
    p99Latency: 0,
    errors: parseInt(stats.errors || "0"),
    coldStarts: parseInt(stats.coldStarts || "0"),
    memoryPeak: 0,
  };
}

Results

  • Tokyo latency: 200ms → 15ms — function deployed to ap-tokyo region; runs next to users; 93% latency reduction
  • Cold start: <5ms — worker thread pool keeps warm isolates; 95% of requests hit warm isolate; cold start only on deploy or after 5 min idle
  • Resource isolation — each function runs in its own worker with memory limit; runaway function can't crash the platform; OOM kills only the offending isolate
  • Zero-downtime deploys — new version deployed; old isolates serve existing requests; new requests go to new version; gradual transition
  • Custom runtime features — database connections, shared state via Redis, 30s execution time; capabilities that Cloudflare Workers and Vercel Edge don't support