Mendefinisikan Sumber Daya Tanpa Server
Tulis templat SAM untuk mendefinisikan fungsi Lambda, titik akhir API Gateway, tabel DynamoDB, dan komponen tanpa server lainnya.
Mendefinisikan Sumber Daya Tanpa Server adalah pelajaran Serverless Backend with AWS Lambda & API Gateway gratis di CoddyKit. Ini adalah pelajaran 2 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 Serverless Backend with AWS Lambda & API Gateway, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Serverless Backend with AWS Lambda & API Gateway mencakup 4 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
What are SAM Templates?
AWS Serverless Application Model (SAM) templates are a powerful way to define your serverless applications using Infrastructure as Code (IaC).
Instead of manually configuring resources in the AWS console, you describe them in a YAML or JSON file. This makes your deployments repeatable, version-controlled, and easier to manage.
Anatomy of a SAM Template
A SAM template has a clear structure. The most important parts are:
AWSTemplateFormatVersion: Specifies the template format version.Transform: AlwaysAWS::Serverless-2016-10-31for SAM.Description: A brief description of your application.Resources: Where you define all your AWS components.
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: My First SAM App
Resources:
# Your serverless resources go hereDefining a Serverless Function
The core of many serverless applications is the AWS Lambda function. In SAM, you declare a Lambda using the AWS::Serverless::Function resource type.
You need to specify its handler, runtime, and where its code is located.
Resources:
MyLambdaFunction:
Type: AWS::Serverless::Function
Properties:
Handler: app.lambda_handler
Runtime: python3.9
CodeUri: s3://my-bucket/my-app.zip
MemorySize: 128
Timeout: 30Key Lambda Properties
Let's break down some common AWS::Serverless::Function properties:
Handler: The entry point in your code (e.g.,filename.function_name).Runtime: The programming language runtime (e.g.,python3.9,nodejs18.x).CodeUri: Path to your function's deployment package (local or S3).MemorySize: RAM allocated to the function (MB).Timeout: Max execution time (seconds).
API Gateway as an Event Source
To make your Lambda function accessible via an HTTP endpoint, you integrate it with Amazon API Gateway. In SAM, you do this by adding an Events property to your function.
The HttpApi type is often preferred for its simplicity and cost-effectiveness.
Resources:
MyApiFunction:
Type: AWS::Serverless::Function
Properties:
Handler: app.lambda_handler
Runtime: python3.9
CodeUri: s3://my-bucket/api-app.zip
Events:
MyApiEvent:
Type: HttpApi
Properties:
Path: /hello
Method: GETDefining a DynamoDB Table
For data persistence, you can define a DynamoDB table directly in your SAM template. SAM provides a convenient AWS::Serverless::SimpleTable resource type.
This creates a basic DynamoDB table with a primary key. For more advanced configurations, you can use AWS::DynamoDB::Table.
Resources:
MyDataTable:
Type: AWS::Serverless::SimpleTable
Properties:
PrimaryKey:
Name: id
Type: String
ProvisionedThroughput:
ReadCapacityUnits: 1
WriteCapacityUnits: 1IAM Permissions for Resources
Your Lambda functions often need permission to interact with other AWS services, like DynamoDB. You grant these permissions using IAM (Identity and Access Management) policies.
SAM allows you to attach policies directly to your Lambda function's execution role using the Policies property.
Resources:
MyLambdaWithDbAccess:
Type: AWS::Serverless::Function
Properties:
Handler: app.lambda_handler
Runtime: python3.9
CodeUri: s3://my-bucket/db-app.zip
Policies:
- DynamoDBReadWriteAccess:
TableName: !Ref MyDataTable # Grants access to MyDataTable
Events:
MyApiEvent:
Type: HttpApi
Properties:
Path: /items
Method: GET
MyDataTable:
Type: AWS::Serverless::SimpleTable
Properties:
PrimaryKey:
Name: id
Type: StringExporting Important Values
After deploying your serverless application, you often need to know the endpoint URL of your API or the name of your DynamoDB table.
The Outputs section in your SAM template allows you to export these values, making them easily accessible after deployment.
Outputs:
ApiUrl:
Description: "API Gateway endpoint URL for Prod stage for Hello World function"
Value: !Sub "https://${ServerlessHttpApi}.execute-api.${AWS::Region}.amazonaws.com/hello"A Full Serverless Template
Here's a more complete SAM template that defines an HTTP API endpoint, a Lambda function to handle requests, and a DynamoDB table for data storage.
Notice how different resource types are declared and linked together.
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: A complete serverless API with Lambda and DynamoDB
Resources:
MyApiFunction:
Type: AWS::Serverless::Function
Properties:
Handler: app.lambda_handler
Runtime: python3.9
CodeUri: s3://my-bucket/full-app.zip
Policies:
- DynamoDBReadWriteAccess:
TableName: !Ref MyItemsTable
Events:
MyApiEvent:
Type: HttpApi
Properties:
Path: /items
Method: GET
MyItemsTable:
Type: AWS::Serverless::SimpleTable
Properties:
PrimaryKey:
Name: itemId
Type: String
Outputs:
ApiEndpoint:
Description: "API Gateway endpoint URL"
Value: !Sub "https://${ServerlessHttpApi}.execute-api.${AWS::Region}.amazonaws.com/items"SAM Template Check
Which of the following are valid top-level sections in a SAM template?
Recap: Defining Serverless Resources
In this lesson, you learned how to define various serverless resources within a SAM template. We covered:
- The basic structure of a SAM template.
- Declaring
AWS::Serverless::Functionfor Lambda. - Integrating Lambda with API Gateway using
Events. - Defining
AWS::Serverless::SimpleTablefor DynamoDB. - Granting permissions with IAM
Policies. - Using the
Outputssection to export values.
Next, we'll learn how to deploy these templates to AWS!
Pertanyaan yang Sering Diajukan
Apakah pelajaran “Mendefinisikan Sumber Daya Tanpa Server” gratis?
Ya — teks lengkap “Mendefinisikan Sumber Daya Tanpa Server” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Serverless Backend with AWS Lambda & API Gateway, upgrade ke CoddyKit PRO. Kursus Serverless Backend with AWS Lambda & API Gateway mencakup 4 pelajaran total.
Apa yang akan aku pelajari di “Mendefinisikan Sumber Daya Tanpa Server”?
Tulis templat SAM untuk mendefinisikan fungsi Lambda, titik akhir API Gateway, tabel DynamoDB, dan komponen tanpa server lainnya. Kamu berlatih Serverless Backend with AWS Lambda & API Gateway 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 Serverless Backend with AWS Lambda & API Gateway?
Tidak diperlukan pengalaman sebelumnya. Serverless Backend with AWS Lambda & API Gateway 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 2 dari 4.
Berapa lama pelajaran “Mendefinisikan Sumber Daya 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 Serverless Backend with AWS Lambda & API Gateway ini?
Ya. Setiap pelajaran Serverless Backend with AWS Lambda & API Gateway 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
- Pengantar AWS SAM
- Mendefinisikan Sumber Daya Tanpa Server
- Menerapkan Aplikasi SAM
- Pengujian dan Debugging Lokal dengan SAM CLI