Penerapan Tanpa Server
Jelajahi penerapan aplikasi NestJS ke platform tanpa server seperti AWS Lambda atau Google Cloud Functions untuk penskalaan yang hemat biaya.
Penerapan Tanpa Server adalah pelajaran NestJS Enterprise Backend APIs gratis di CoddyKit. Ini adalah pelajaran 5 dari 6. 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 NestJS Enterprise Backend APIs, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus NestJS Enterprise Backend APIs mencakup 6 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
Intro to Serverless Deployment
Welcome to serverless deployment! This strategy lets you build and run applications without managing servers.
Instead of provisioning VMs, you write code that runs in response to events, like an HTTP request.
The cloud provider (e.g., AWS, Google Cloud) handles all the server management for you.
Why Serverless for NestJS?
Deploying NestJS on serverless platforms offers compelling advantages, especially for APIs:
- Automatic Scaling: Your application scales instantly with demand, from zero to thousands of requests.
- Cost-Efficiency: You only pay for the compute time consumed by your code, not for idle servers.
- Reduced Operations: No server maintenance, patching, or scaling to worry about. Focus on your code!
Common Serverless Platforms
Several major cloud providers offer robust serverless computing services:
- AWS Lambda: The most popular choice, often used with API Gateway for HTTP endpoints.
- Google Cloud Functions: Google's offering, deeply integrated with the Google Cloud ecosystem.
- Azure Functions: Microsoft's solution for event-driven serverless applications.
We'll primarily focus on concepts applicable to AWS Lambda.
NestJS & Lambda: The Challenge
NestJS applications are typically long-running processes, constantly listening for requests. Serverless functions, however, are designed to be short-lived, executing only when triggered.
The challenge is to make NestJS's robust architecture fit into this 'function-as-a-service' model. We need a way to 'boot up' our NestJS app within the context of a single serverless invocation.
Adapting NestJS for Lambda
To run a NestJS app on AWS Lambda, we use an adapter. This adapter acts as a bridge, translating incoming Lambda events into a format NestJS understands (like an Express.js or Fastify request) and then translating NestJS's response back for Lambda.
Popular tools like @vendia/serverless-express (for Express) or @nestjs/platform-fastify with aws-lambda-fastify help achieve this.
Serverless Framework CLI
The Serverless Framework is a powerful CLI tool that simplifies deploying serverless applications to various providers.
It handles packaging your code, creating cloud resources (like Lambda functions and API Gateway endpoints), and managing deployments.
You can install it globally via npm:
npm install -g serverlessBasic `serverless.yml` Structure
The core of a Serverless Framework project is the serverless.yml file. This YAML configuration defines your service, provider, and functions.
Here's a simplified structure:
service: my-nestjs-api
provider:
name: aws
runtime: nodejs18.x
# ... other AWS configurations
functions:
api:
handler: dist/lambda.handler
events:
- http:
path: /{proxy+}
method: any
cors: trueThe NestJS Lambda Handler
This is the actual entry point for your Lambda function. It initializes your NestJS application and wraps it with an adapter.
The goal is to initialize NestJS only once (a 'warm start') to reduce latency on subsequent calls.
import { NestFactory } from '@nestjs/core';
import { AppModule } from './app.module';
import { ExpressAdapter } from '@nestjs/platform-express';
import * as express from 'express';
import * as serverlessExpress from '@vendia/serverless-express';
let cachedServer;
async function bootstrapServer() {
const expressApp = express();
const adapter = new ExpressAdapter(expressApp);
const app = await NestFactory.create(AppModule, adapter);
await app.init();
return serverlessExpress({ app: expressApp });
}
export const handler = async (event, context) => {
if (!cachedServer) {
cachedServer = await bootstrapServer();
}
return cachedServer(event, context);
};Deploying Your Serverless App
Once your serverless.yml and handler are configured, deploying your NestJS application is straightforward:
- Build: Compile your TypeScript code (e.g.,
npm run build). - Deploy: Run
serverless deployfrom your terminal. The CLI handles packaging and provisioning. - Test: The CLI will output your API Gateway endpoint, which you can use to test your deployed NestJS API.
Serverless Deployment Check
Which of the following are key benefits of deploying a NestJS API on a serverless platform like AWS Lambda?
Recap: Serverless NestJS
In this lesson, we explored how to deploy NestJS applications using serverless platforms like AWS Lambda.
You learned about the benefits (cost, scaling, reduced ops), the challenge of adapting NestJS for short-lived functions, and how the Serverless Framework and adapters help bridge this gap. This approach enables highly scalable and cost-efficient backend services.
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Penerapan Tanpa Server” gratis?
Ya — teks lengkap “Penerapan Tanpa Server” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus NestJS Enterprise Backend APIs, upgrade ke CoddyKit PRO. Kursus NestJS Enterprise Backend APIs mencakup 6 pelajaran total.
Apa yang akan aku pelajari di “Penerapan Tanpa Server”?
Jelajahi penerapan aplikasi NestJS ke platform tanpa server seperti AWS Lambda atau Google Cloud Functions untuk penskalaan yang hemat biaya. Kamu berlatih NestJS Enterprise Backend APIs 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 NestJS Enterprise Backend APIs?
Tidak diperlukan pengalaman sebelumnya. NestJS Enterprise Backend APIs 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 5 dari 6.
Berapa lama pelajaran “Penerapan Tanpa Server” 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 NestJS Enterprise Backend APIs ini?
Ya. Setiap pelajaran NestJS Enterprise Backend APIs 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
- Strategi Caching (Redis)
- Pemantauan Performa Basis Data
- Penyeimbangan Beban dan Proksi
- Strategi Pengoptimalan Kueri
- Penerapan Tanpa Server
- Menskalakan Proyek Supabase Anda