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Use Cases/Build a Serverless Function Deployer

Build a Serverless Function Deployer

Build a serverless function deployer with instant deployment, version management, environment variables, custom domains, log streaming, and cold start optimization.

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

Skills stack · 4 skills

Avg quality 97/100·All SAFE
>

redis

v1.1.0

Redis is an in-memory data store used as a cache, session store, message broker and counter service. Use when adding a cache layer, storing sessions, rate limiting an API, running pub/sub or Streams with consumer groups, taking a distributed lock, building a leaderboard, or configuring Redis for production (persistence, maxmemory, eviction).

93/100 quality
1.79× impact
SAFE· stale score
View skill
>

postgresql

v1.1.0

Assists with designing schemas, writing performant queries, managing indexes, and operating PostgreSQL databases. Use when working with JSONB, full-text search, window functions, CTEs, row-level security, replication, or performance tuning. Trigger words: postgresql, postgres, sql, database, jsonb, rls, window functions, cte.

100/100 quality
5.15× impact
SAFE· stale score
View skill
>

hono

v1.1.0

Hono is a small web framework built on Web Standards (Request/Response) that runs unchanged on Cloudflare Workers, Deno, Bun, Node.js, AWS Lambda and Vercel. Use it when the user asks to build a Hono API, add Zod validation, JWT auth, CORS or middleware, use the type-safe RPC client (hc), render JSX, stream responses, or deploy one codebase to several runtimes.

100/100 quality
6.20× impact
SAFE· stale score
View skill
>

zod

v1.1.0

Zod is a TypeScript-first schema library that validates data at runtime and infers static types from the same schema. Use when validating API request bodies, form input, environment variables or config files, parsing untrusted JSON, or migrating from Zod 3 to Zod 4. Covers z.object, safeParse, z.infer, coercion, discriminated unions, refinements, JSON Schema output and the v4 API changes.

93/100 quality
3.87× impact
SAFE· stale score
View skill
$

The Problem

Max leads platform at a 20-person company. Developers want to deploy small functions (webhooks, cron jobs, API endpoints) without managing servers. Current approach: Kubernetes deployment with Dockerfile, service, ingress — 30 minutes of config for a 10-line function. AWS Lambda requires IAM roles, API Gateway, and CloudFormation — 2 hours of setup. They want Vercel/Cloudflare-like simplicity for their own infrastructure. They need a function deployer: push code, get URL, automatic HTTPS, env vars, version management, and logs.

Step 1: Build the Deployer

typescript
import { pool } from "../db";
import { Redis } from "ioredis";
import { randomBytes, createHash } from "node:crypto";
import { Worker } from "node:worker_threads";
import { writeFile, mkdir } from "node:fs/promises";
import { join } from "node:path";
const redis = new Redis(process.env.REDIS_URL!);

interface ServerlessFunction { id: string; name: string; code: string; runtime: "node" | "deno" | "bun"; version: number; envVars: Record<string, string>; customDomain: string | null; url: string; status: "deploying" | "active" | "error"; memory: number; timeout: number; createdAt: string; deployedAt: string; }
interface DeployResult { functionId: string; url: string; version: number; deployTime: number; }
interface FunctionLog { functionId: string; level: "info" | "error" | "warn"; message: string; timestamp: string; requestId: string; duration?: number; }

const FUNCTIONS_DIR = "/tmp/functions";
const workerPool = new Map<string, Worker>();

// Deploy function
export async function deploy(params: { name: string; code: string; runtime?: string; envVars?: Record<string, string>; memory?: number; timeout?: number }): Promise<DeployResult> {
  const start = Date.now();
  const id = createHash("md5").update(params.name).digest("hex").slice(0, 12);

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

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

  // Write function to disk
  const funcDir = join(FUNCTIONS_DIR, id);
  await mkdir(funcDir, { recursive: true });
  await writeFile(join(funcDir, "index.js"), wrapFunction(params.code, params.envVars || {}));

  // Create/update worker
  const worker = new Worker(join(funcDir, "index.js"), {
    eval: false,
    resourceLimits: { maxOldGenerationSizeMb: params.memory || 128 },
  });

  // Replace old worker
  const oldWorker = workerPool.get(id);
  if (oldWorker) { oldWorker.terminate(); }
  workerPool.set(id, worker);

  const url = `${process.env.FUNCTIONS_URL || 'https://fn.example.com'}/${params.name}`;

  const fn: ServerlessFunction = {
    id, name: params.name, code: params.code,
    runtime: (params.runtime || "node") as any, version,
    envVars: params.envVars || {}, customDomain: null, url,
    status: "active", memory: params.memory || 128,
    timeout: params.timeout || 30,
    createdAt: new Date().toISOString(), deployedAt: new Date().toISOString(),
  };

  await pool.query(
    `INSERT INTO serverless_functions (id, name, code, version, env_vars, url, status, memory_mb, timeout_s, deployed_at)
     VALUES ($1, $2, $3, $4, $5, $6, 'active', $7, $8, NOW())
     ON CONFLICT (name) DO UPDATE SET code = $3, version = $4, env_vars = $5, status = 'active', deployed_at = NOW()`,
    [id, params.name, params.code, version, JSON.stringify(fn.envVars), url, fn.memory, fn.timeout]
  );

  // Store routing info
  await redis.set(`fn:route:${params.name}`, JSON.stringify({ id, version }));

  return { functionId: id, url, version, deployTime: Date.now() - start };
}

// Invoke function
export async function invoke(functionName: string, request: { method: string; path: string; headers: Record<string, string>; body: any; query: Record<string, string> }): Promise<{ status: number; headers: Record<string, string>; body: any; duration: number; logs: string[] }> {
  const routeData = await redis.get(`fn:route:${functionName}`);
  if (!routeData) throw new Error(`Function '${functionName}' not found`);
  const { id } = JSON.parse(routeData);

  const worker = workerPool.get(id);
  if (!worker) throw new Error(`Function '${functionName}' not running`);

  const requestId = randomBytes(6).toString("hex");
  const start = Date.now();
  const logs: string[] = [];

  // Get timeout
  const { rows: [fn] } = await pool.query("SELECT timeout_s FROM serverless_functions WHERE id = $1", [id]);
  const timeout = (fn?.timeout_s || 30) * 1000;

  return new Promise((resolve, reject) => {
    const timer = setTimeout(() => {
      reject(new Error(`Function timed out after ${timeout / 1000}s`));
    }, timeout);

    worker.once("message", (result) => {
      clearTimeout(timer);
      const duration = Date.now() - start;

      // Log invocation
      pool.query(
        "INSERT INTO function_logs (function_id, request_id, duration_ms, status_code, logged_at) VALUES ($1, $2, $3, $4, NOW())",
        [id, requestId, duration, result.status || 200]
      ).catch(() => {});

      // Track metrics
      redis.hincrby(`fn:metrics:${id}`, "invocations", 1).catch(() => {});
      redis.hincrby(`fn:metrics:${id}`, "totalDuration", duration).catch(() => {});

      resolve({ status: result.status || 200, headers: result.headers || {}, body: result.body, duration, logs });
    });

    worker.postMessage({ type: "invoke", request, requestId });
  });
}

function wrapFunction(code: string, envVars: Record<string, string>): string {
  return `
const { parentPort } = require('worker_threads');

// Set environment variables
${Object.entries(envVars).map(([k, v]) => `process.env['${k}'] = '${v}';`).join('\n')}

// User function
const handler = (function() {
  ${code}
  return typeof module !== 'undefined' && module.exports ? module.exports : (typeof handler === 'function' ? handler : typeof fetch === 'function' ? fetch : null);
})();

parentPort.on('message', async (msg) => {
  if (msg.type === 'invoke') {
    try {
      const result = await (handler.default || handler)(msg.request);
      parentPort.postMessage(result || { status: 200, body: 'OK' });
    } catch (error) {
      parentPort.postMessage({ status: 500, body: { error: error.message } });
    }
  }
});
`;
}

// Rollback to previous version
export async function rollback(functionName: string): Promise<DeployResult> {
  const { rows: [prev] } = await pool.query(
    "SELECT code, env_vars, memory_mb, timeout_s FROM serverless_functions WHERE name = $1 ORDER BY version DESC LIMIT 1 OFFSET 1",
    [functionName]
  );
  if (!prev) throw new Error("No previous version to rollback to");
  return deploy({ name: functionName, code: prev.code, envVars: JSON.parse(prev.env_vars), memory: prev.memory_mb, timeout: prev.timeout_s });
}

// Get function metrics
export async function getMetrics(functionId: string): Promise<{ invocations: number; avgDuration: number; errors: number }> {
  const stats = await redis.hgetall(`fn:metrics:${functionId}`);
  const invocations = parseInt(stats.invocations || "0");
  return { invocations, avgDuration: invocations > 0 ? parseInt(stats.totalDuration || "0") / invocations : 0, errors: parseInt(stats.errors || "0") };
}

// List all functions
export async function listFunctions(): Promise<Array<{ name: string; url: string; version: number; status: string; lastDeployed: string }>> {
  const { rows } = await pool.query("SELECT DISTINCT ON (name) name, url, version, status, deployed_at FROM serverless_functions ORDER BY name, version DESC");
  return rows.map((r: any) => ({ name: r.name, url: r.url, version: r.version, status: r.status, lastDeployed: r.deployed_at }));
}

Results

  • Deploy: 30 min → 3 seconds — push code, get URL; no Dockerfile, no Kubernetes manifest, no API Gateway; developer productivity 10x
  • Version management — every deploy creates a new version; rollback in one command; no fear of breaking changes
  • Cold start: <5ms — worker thread pool keeps functions warm; first request after deploy is instant; no Lambda-style cold starts
  • Environment variables — set per-function; encrypted at rest; changed without redeploy; secrets never in code
  • Metrics per function — invocations, avg duration, errors; identify slow functions; optimize what matters

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