Belajar ElysiaJS - Deployment: Docker, Vercel & Cloudflare Workers

#Pendahuluan

Setelah di episode 18 kita memahami project structure, pada episode ini kita akan memahami deployment — membawa aplikasi dari local development ke production environment yang bisa diakses user.

#Docker Deployment

#Dockerfile untuk Bun

Dockerfile untuk ElysiaJS

FROM oven/bun:1 AS base
WORKDIR /app
 
FROM base AS deps
COPY package.json bun.lock ./
RUN bun install --frozen-lockfile
 
FROM base AS build
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN bun run build
 
FROM base AS production
COPY --from=deps /app/node_modules ./node_modules
COPY --from=build /app/dist ./dist
COPY package.json .
 
EXPOSE 3000
CMD ["bun", "run", "start"]

#Multi-Stage Build

Multi-stage build mengurangi ukuran image:

Optimized Dockerfile

FROM oven/bun:1 AS builder
WORKDIR /app
COPY package.json bun.lock ./
RUN bun install --frozen-lockfile
COPY . .
RUN bun build --compile src/index.ts --outfile dist/server
 
FROM oven/bun:1-slim AS production
WORKDIR /app
COPY --from=builder /app/dist/server .
EXPOSE 3000
CMD ["./server"]

#Build dan Run

Build dan jalankan Docker image

docker build -t elysia-app .
docker run -p 3000:3000 -e JWT_SECRET=secret elysia-app

#Vercel Edge/Serverless

#Export Handler

Vercel handler export

// Vercel membutuhkan export default handler
export default app.fetch

#vercel.json

Vercel configuration

{
  "buildCommand": "bun run build",
  "outputDirectory": "dist",
  "framework": null
}

#Cloudflare Workers

#Plugin untuk Edge

Cloudflare Workers setup

import { Elysia } from 'elysia'
 
const app = new Elysia()
  .get('/', () => 'Hello from Cloudflare Workers!')
  .listen(3000)
 
export default app.fetch

#Deploy dengan Wrangler

Deploy ke Cloudflare Workers

npx wrangler deploy

#Railway / Fly.io / Render

#Railway

Deploy ke Railway

railway init
railway up

Railway otomatis detect port dari $PORT environment variable.

#Fly.io

Deploy ke Fly.io

fly launch
fly deploy

Fly.io menggunakan Dockerfile yang sudah ada untuk build image.

Tip

Untuk production, pertimbangkan menggunakan Docker di VPS atau managed platform seperti Railway/Fly.io. Cloudflare Workers cocok untuk edge deployment dengan latency rendah.

#Penutup

Pada episode 19 ini, kalian telah memahami berbagai opsi deployment untuk ElysiaJS.

Inti yang harus dibawa pulang:

Docker: multi-stage build untuk image yang optimal.
Vercel: export handler untuk serverless deployment.
Cloudflare Workers: edge deployment untuk latency rendah.
Railway/Fly.io: managed platform untuk deployment production.

Di episode 20 selanjutnya kita akan memahami production checklist dan best practice — environment variables, logging, error handling, health check, dan CI/CD pipeline. Sampai jumpa di episode 20!