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Expert guide for deploying SaaS applications with multiple entry points on modern edge and serverless platforms like Vercel and Cloudflare / Panduan ahli untuk mendeploy aplikasi SaaS dengan multiple entry points di platform edge dan serverless modern seperti Vercel dan Cloudflare.

日本語の概要は準備中です。原文の説明を表示しています。

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Cloud Hosting Expert (2026 Edition)

English | Bahasa Indonesia


<a name="english"></a>

English

Orchestration & Integration

  • Upstream & Orchestration: zero-to-prod-orchestrator (Phase 7 deployment), brainstorming, session-memory-manager.
  • CI/CD & Container Pipelines: ci-cd-devops-architect (deployment automation), github-actions-expert (cloud actions & OIDC), docker-container-expert (container images for Railway/Fly).
  • Edge Compute & Serverless: cloudflare-workers-expert (Cloudflare Workers, D1, KV, R2), api-gateway-proxy-expert (edge routing & proxies).
  • Monitoring & Auto-Remediation: proactive-background-watcher (deployment health checks), self-healing-cloud-orchestrator (production crash hotfixing).

Description

Expert guide for deploying SaaS applications and their multiple entry points (landing page, app, super admin subdomain) on modern edge and serverless platforms. Covers Vercel, Cloudflare Workers & Pages, Railway, Fly.io, and Cloudflare Workers AI for AI-powered edge workloads.

Trigger Conditions

  • Deploying a Next.js, Hono, or Astro application to Vercel, Cloudflare, or Railway.
  • Configuring custom domains and subdomain routing (e.g., app.domain.com, admin.domain.com).
  • Setting up Edge Middleware for multi-tenant tenant identification.
  • Deploying AI inference workloads to Cloudflare Workers AI.
  • Deploying long-running backend services to Railway or Fly.io.
  • Implementing CDN caching strategies for SaaS applications.

Platform Selection Guide (2026)

PlatformBest ForFree TierCold Start
VercelNext.js, static, serverless functions✅~200ms
Cloudflare WorkersUltra-low latency APIs, edge logic✅ (100k req/day)~0ms
Cloudflare PagesStatic + full-stack (via Workers)✅~0ms
RailwayNode.js/Go/Python long-running services, Bun✅ (5$/mo credit)None
Fly.ioDocker containers, global distribution✅ (3 shared VMs)~500ms
RenderNode.js/Go/Python persistent services✅ (spins down)~30s

Multi-Entry Point Deployment Architecture

For SaaS applications, separate deployments for each entry point:

myapp.com         → Vercel (Marketing/Landing — Next.js static)
app.myapp.com     → Vercel (SaaS App — Next.js dynamic)
admin.myapp.com   → Vercel (Super Admin — Next.js, restricted access)
api.myapp.com     → Railway/Fly.io (Backend API — long-running)
cdn.myapp.com     → Cloudflare R2 (Static assets & user uploads)

Vercel — Next.js Deployment

Multi-Domain Configuration

// vercel.json
{
  "rewrites": [
    { "source": "/(.*)", "destination": "/$1" }
  ],
  "headers": [
    {
      "source": "/(.*)",
      "headers": [
        { "key": "X-Content-Type-Options", "value": "nosniff" },
        { "key": "X-Frame-Options", "value": "DENY" },
        { "key": "Strict-Transport-Security", "value": "max-age=63072000; includeSubDomains; preload" }
      ]
    }
  ]
}

Edge Middleware for Tenant Routing

// middleware.ts — runs at the edge before every request
import { NextResponse } from 'next/server';
import type { NextRequest } from 'next/server';

export function middleware(request: NextRequest) {
  const hostname = request.headers.get('host') ?? '';
  const subdomain = hostname.split('.')[0];

  // Route admin subdomain — enforce strict auth check
  if (subdomain === 'admin') {
    const adminToken = request.cookies.get('admin-session')?.value;
    if (!adminToken) {
      return NextResponse.redirect(new URL('/login', request.url));
    }
  }

  // Identify tenant from subdomain for multi-tenant apps
  if (subdomain !== 'www' && subdomain !== 'app' && subdomain !== 'admin') {
    const response = NextResponse.next();
    response.headers.set('x-tenant-slug', subdomain);
    return response;
  }

  return NextResponse.next();
}

export const config = {
  matcher: ['/((?!_next/static|_next/image|favicon.ico).*)'],
};

Cloudflare Workers — Edge APIs

Hono on Cloudflare Workers

// src/index.ts
import { Hono } from 'hono';
import { cors } from 'hono/cors';
import { rateLimit } from '@/middleware/rateLimit';

const app = new Hono<{ Bindings: Env }>();

app.use('*', cors({ origin: ['https://app.myapp.com'] }));
app.use('/api/*', rateLimit(100)); // 100 req/min via KV

app.get('/api/health', (c) => c.json({ status: 'ok', region: c.env.CF_REGION }));

app.get('/api/data', async (c) => {
  // Access Cloudflare D1 (SQLite at edge)
  const result = await c.env.DB.prepare('SELECT * FROM items LIMIT 20').all();
  return c.json(result.results);
});

export default app;

Cloudflare Workers AI (On-Device Edge Inference)

Run AI models directly at Cloudflare's edge — no external API calls needed:

export default {
  async fetch(request: Request, env: Env) {
    const { text } = await request.json() as { text: string };

    // Run Llama 3 or Mistral at the edge
    const response = await env.AI.run('@cf/meta/llama-3.1-8b-instruct', {
      messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: text }
      ],
      stream: true,
    });

    return new Response(response, {
      headers: { 'Content-Type': 'text/event-stream' }
    });
  }
};

Available models on Workers AI:

  • @cf/meta/llama-3.1-8b-instruct — Fast general-purpose chat
  • @cf/mistral/mistral-7b-instruct-v0.2 — Fast instruction model
  • @cf/baai/bge-small-en-v1.5 — Text embedding (for RAG)
  • @cf/stabilityai/stable-diffusion-xl-base-1.0 — Image generation

Railway — Bun / Node.js Long-Running Services

# Dockerfile for Railway (Bun runtime)
FROM oven/bun:1.2-alpine
WORKDIR /app
COPY package.json bun.lockb ./
RUN bun install --frozen-lockfile
COPY . .
EXPOSE 3000
CMD ["bun", "run", "src/server.ts"]
# railway.toml
[build]
builder = "DOCKERFILE"

[deploy]
startCommand = "bun run src/server.ts"
healthcheckPath = "/health"
healthcheckTimeout = 10
restartPolicyType = "ON_FAILURE"

Environment Variables & Secrets Management

  • Vercel: Use Vercel's built-in secrets panel — supports preview/production scoping.
  • Cloudflare: Use wrangler secret put SECRET_NAME or the dashboard.
  • Railway: Use Railway's variable groups for shared secrets across services.
  • Never commit .env files — use .env.example as documentation only.

Caching Strategy

// Vercel: Cache API responses at the edge
export async function GET() {
  const data = await fetchData();
  return Response.json(data, {
    headers: {
      'Cache-Control': 'public, s-maxage=60, stale-while-revalidate=300',
    }
  });
}

// Cloudflare: Use Cache API
const cache = caches.default;
const cached = await cache.match(request);
if (cached) return cached;

<a name="bahasa-indonesia"></a>

Bahasa Indonesia

Integrasi Orkestrasi

  • Hulu & Orkestrasi: zero-to-prod-orchestrator (Deployment Fase 7), brainstorming, session-memory-manager.
  • Pipeline CI/CD & Kontainer: ci-cd-devops-architect (otomasi deployment), github-actions-expert (aksi cloud & OIDC), docker-container-expert (image kontainer Railway/Fly).
  • Komputasi Edge & Serverless: cloudflare-workers-expert (Cloudflare Workers, D1, KV, R2), api-gateway-proxy-expert (routing edge & proxy).
  • Pemantauan & Auto-Remediasi: proactive-background-watcher (pemeriksaan kesehatan deployment), self-healing-cloud-orchestrator (perbaikan otomatis crash produksi).

Deskripsi

Panduan ahli untuk men-deploy aplikasi SaaS dan multiple entry points-nya (landing page, aplikasi, subdomain super admin) di platform edge dan serverless modern. Mencakup Vercel, Cloudflare Workers & Pages, Railway, Fly.io, dan Cloudflare Workers AI untuk workload AI di edge.

Kondisi Pemicu

  • Men-deploy aplikasi Next.js, Hono, atau Astro ke Vercel, Cloudflare, atau Railway.
  • Mengonfigurasi domain kustom dan routing subdomain (app.domain.com, admin.domain.com).
  • Menyiapkan Edge Middleware untuk identifikasi tenant multi-tenant.
  • Men-deploy workload inferensi AI ke Cloudflare Workers AI.
  • Men-deploy layanan backend long-running ke Railway atau Fly.io.

Panduan Pemilihan Platform (2026)

PlatformPilihan Terbaik UntukTier GratisCold Start
VercelNext.js, situs statis, serverless functions✅~200ms
Cloudflare WorkersAPI latensi ultra-rendah, logika edge✅ (100k req/hari)~0ms
Cloudflare PagesStatis + full-stack (via Workers)✅~0ms
RailwayLayanan Node.js/Bun/Go/Python long-running✅ ($5 kredit/bln)Nol
Fly.ioKontainer Docker terdistribusi global✅ (3 shared VM)~500ms

Implementasi Pola Kunci (TypeScript)

1. Edge Middleware untuk Routing Subdomain & Tenant (Next.js 15)

// middleware.ts
import { NextResponse } from 'next/server';
import type { NextRequest } from 'next/server';

export function middleware(request: NextRequest) {
  const hostname = request.headers.get('host') ?? '';
  const subdomain = hostname.split('.')[0];

  // Rute subdomain admin — tegakkan pemeriksaan otentikasi ketat
  if (subdomain === 'admin') {
    const sesiAdmin = request.cookies.get('admin-session')?.value;
    if (!sesiAdmin) {
      return NextResponse.redirect(new URL('/masuk', request.url));
    }
  }

  // Identifikasi tenant dari subdomain pada aplikasi multi-tenant
  if (subdomain !== 'www' && subdomain !== 'app' && subdomain !== 'admin') {
    const response = NextResponse.next();
    response.headers.set('x-tenant-slug', subdomain);
    return response;
  }

  return NextResponse.next();
}

export const config = {
  matcher: ['/((?!_next/static|_next/image|favicon.ico).*)'],
};

2. Cloudflare Workers AI (Inferensi AI di Edge)

export default {
  async fetch(request: Request, env: Env) {
    const { teks } = (await request.json()) as { teks: string };

    // Jalankan inferensi Llama 3.1 langsung di edge tanpa server eksternal
    const response = await env.AI.run('@cf/meta/llama-3.1-8b-instruct', {
      messages: [
        { role: 'system', content: 'Anda adalah asisten AI yang akurat.' },
        { role: 'user', content: teks },
      ],
      stream: true,
    });

    return new Response(response, {
      headers: { 'Content-Type': 'text/event-stream' },
    });
  },
};

3. Railway Dockerfile untuk Runtime Bun Berkecepatan Tinggi

FROM oven/bun:1.2-alpine
WORKDIR /app
COPY package.json bun.lockb ./
RUN bun install --frozen-lockfile
COPY . .
EXPOSE 3000
CMD ["bun", "run", "src/server.ts"]

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