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Edge Computing with Cloudflare Workers & Deno · Pelajaran

Menyiapkan Lingkungan Worker

Konfigurasikan mesin lokal Anda untuk pengembangan Cloudflare Workers menggunakan Wrangler CLI.

Menyiapkan Lingkungan Worker adalah pelajaran Edge Computing with Cloudflare Workers & Deno gratis di CoddyKit. Ini adalah pelajaran 1 dari 4. Kamu bisa membaca pelajaran lengkapnya di bawah secara gratis — lalu praktikkan langsung di browser dengan editor kode bawaan dan tutor AI 24/7. Ini adalah bagian dari jalur belajar Edge Computing with Cloudflare Workers & Deno, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Edge Computing with Cloudflare Workers & Deno mencakup 4 pelajaran total.

Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.

Get Ready for Edge Dev

Welcome! Before we build our first Cloudflare Worker, we need to set up our local development environment. This ensures you have all the tools to write, test, and deploy your code efficiently.

A proper setup makes the development process smooth and helps you quickly iterate on your edge applications.

Wrangler: Your Worker Tool

Our primary tool for interacting with Cloudflare Workers is the Wrangler CLI (Command Line Interface). It's a powerful tool that helps you:

  • Create new Worker projects
  • Develop and test Workers locally
  • Configure and deploy Workers to Cloudflare's edge
  • Manage Worker resources

Essential: Node.js & npm

Wrangler is built using Node.js, so you'll need Node.js and its package manager, npm (or yarn), installed on your machine.

  • Node.js: A JavaScript runtime environment.
  • npm: Node Package Manager, used to install libraries and tools.

If you don't have Node.js, download it from nodejs.org. We recommend using a Long Term Support (LTS) version.

Installing Wrangler CLI

Once Node.js and npm are ready, open your terminal or command prompt. We'll install Wrangler globally so it's accessible from any directory.

Run the following command:

npm install -g wrangler

Connect to Cloudflare

After installing, you need to link Wrangler to your Cloudflare account. This allows Wrangler to deploy and manage Workers on your behalf.

Execute this command and follow the browser prompts to log in:

wrangler login

Create Your First Project

Now that Wrangler is installed and authenticated, let's create a new Worker project. This command generates a basic project structure for you.

Replace my-first-worker with your desired project name:

wrangler generate my-first-worker

Understanding Project Structure

After running wrangler generate, you'll find a new directory (e.g., my-first-worker) with essential files:

  • wrangler.toml: Your Worker's configuration file.
  • src/index.js: The main JavaScript file where your Worker's logic lives.
  • package.json: Standard Node.js package file (optional, for dependencies).

Let's dive into these key files.

Configure with wrangler.toml

The wrangler.toml file is crucial. It defines your Worker's settings, like its name, type, and associated Cloudflare account.

Here's a basic example of what it might contain:

name = "my-first-worker"
main = "src/index.js"
compatibility_date = "2023-10-26"
account_id = "YOUR_CLOUDFLARE_ACCOUNT_ID"

Your Worker's Logic

The src/index.js file is where you write the JavaScript code for your Worker. Cloudflare Workers typically listen for fetch events.

This simple Worker responds with "Hello Cloudflare Workers!" to any request:

export default {
  async fetch(request, env, ctx) {
    return new Response("Hello Cloudflare Workers!");
  },
};

Test Your Worker Locally

Before deploying, you can test your Worker right on your machine! Wrangler creates a local development server that simulates the Cloudflare edge environment.

Navigate into your project directory (e.g., cd my-first-worker) and run:

wrangler dev

Wrangler Command Check

Which Wrangler command is used to connect your local environment to your Cloudflare account?

Recap: Setup Complete!

Great job! You've successfully set up your Cloudflare Workers development environment. You've learned how to:

  • Install Wrangler CLI
  • Authenticate with Cloudflare
  • Generate a new Worker project
  • Understand the basic project structure
  • Run your Worker locally using wrangler dev

You're now ready to start building powerful applications at the edge!

Pertanyaan yang Sering Diajukan

Apakah pelajaran “Menyiapkan Lingkungan Worker” gratis?

Ya — teks lengkap “Menyiapkan Lingkungan Worker” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Edge Computing with Cloudflare Workers & Deno, upgrade ke CoddyKit PRO. Kursus Edge Computing with Cloudflare Workers & Deno mencakup 4 pelajaran total.

Apa yang akan aku pelajari di “Menyiapkan Lingkungan Worker”?

Konfigurasikan mesin lokal Anda untuk pengembangan Cloudflare Workers menggunakan Wrangler CLI. Kamu berlatih Edge Computing with Cloudflare Workers & Deno dengan kode praktik yang langsung kamu jalankan di browser, dan tutor AI 24/7 menjawab pertanyaanmu saat kamu mengerjakan pelajaran ini.

Apakah aku perlu pengalaman untuk memulai Edge Computing with Cloudflare Workers & Deno?

Tidak diperlukan pengalaman sebelumnya. Edge Computing with Cloudflare Workers & Deno di CoddyKit dirancang untuk pemula hingga pelajar tingkat lanjut, jadi kamu bisa memulai di sini atau dari awal dan belajar sesuai kecepatan kamu sendiri. Ini adalah pelajaran 1 dari 4.

Berapa lama pelajaran “Menyiapkan Lingkungan Worker” memakan waktu?

Sebagian besar pelajaran CoddyKit memakan waktu sekitar 5–10 menit. Setiap pelajaran ringkas dan interaktif, jadi kamu membuat kemajuan stabil dan melanjutkan dari tempat kamu tinggalkan di web dan aplikasi.

Bisakah aku menulis dan menjalankan kode dalam pelajaran Edge Computing with Cloudflare Workers & Deno ini?

Ya. Setiap pelajaran Edge Computing with Cloudflare Workers & Deno menyertakan editor kode bawaan, jadi kamu menulis dan menjalankan kode nyata langsung di browser dan mendapatkan umpan balik AI instan — tidak diperlukan penyiapan lokal.

Semua pelajaran dalam kursus ini

  1. Menyiapkan Lingkungan Worker
  2. Menangani Permintaan HTTP
  3. Menerapkan Worker Pertama Anda
  4. Variabel Lingkungan dan Rahasia di Workers
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