Definizione delle risorse serverless
Scriva template SAM per definire funzioni Lambda, endpoint API Gateway, tabelle DynamoDB e altri componenti serverless.
Definizione delle risorse serverless è una lezione Serverless Backend with AWS Lambda & API Gateway gratuita su CoddyKit. Questa è la lezione 2 di 4. Puoi leggere la lezione completa qui gratuitamente — poi esercitati direttamente nel browser con un editor di codice integrato e un tutor IA disponibile 24/7. Fa parte del percorso di apprendimento Serverless Backend with AWS Lambda & API Gateway, e i tuoi progressi si sincronizzano tra il web e l'app CoddyKit. Il corso Serverless Backend with AWS Lambda & API Gateway include 4 lezioni in totale.
Parti di questa lezione non sono ancora state tradotte e vengono mostrate in inglese.
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!
Domande Frequenti
La lezione «Definizione delle risorse serverless» è gratuita?
Sì — il testo completo di «Definizione delle risorse serverless» è gratuito qui sul web. Per esercitarvi in modo interattivo (un editor di codice integrato e un tutor IA 24/7) e sbloccare il resto del corso Serverless Backend with AWS Lambda & API Gateway, passa a CoddyKit PRO. Il corso Serverless Backend with AWS Lambda & API Gateway include 4 lezioni in totale.
Cosa imparerò in «Definizione delle risorse serverless»?
Scriva template SAM per definire funzioni Lambda, endpoint API Gateway, tabelle DynamoDB e altri componenti serverless. Eserciti Serverless Backend with AWS Lambda & API Gateway con codice pratico che esegui direttamente nel browser, e un tutor IA 24/7 risponde alle tue domande mentre lavori sulla lezione.
Ho bisogno di esperienza per iniziare Serverless Backend with AWS Lambda & API Gateway?
Non è richiesta alcuna esperienza precedente. Serverless Backend with AWS Lambda & API Gateway su CoddyKit è strutturato per principianti e studenti avanzati, quindi puoi iniziare da qui o dall'inizio e procedere al tuo ritmo. Questa è la lezione 2 di 4.
Quanto tempo richiede la lezione «Definizione delle risorse serverless»?
La maggior parte delle lezioni CoddyKit richiede circa 5–10 minuti. Ogni lezione è breve e interattiva, quindi fai progressi costanti e riprendi esattamente da dove hai lasciato su web e app.
Posso scrivere ed eseguire codice in questa lezione Serverless Backend with AWS Lambda & API Gateway?
Sì. Ogni lezione Serverless Backend with AWS Lambda & API Gateway include un editor di codice integrato, quindi scrivi ed esegui codice reale direttamente nel tuo browser e ricevi feedback istantaneo dall'IA — nessuna configurazione locale necessaria.
Tutte le lezioni di questo corso
- Introduzione ad AWS SAM
- Definizione delle risorse serverless
- Distribuzione delle applicazioni SAM
- Test e debugging locali con SAM CLI