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AWS for Backend Developers (EC2, S3, RDS, Lambda) · Lección

Serverless Application Model (SAM)

Defina, desarrolle y despliegue aplicaciones sin servidor mediante el framework AWS Serverless Application Model (SAM).

Serverless Application Model (SAM) es una lección gratuita de AWS for Backend Developers (EC2, S3, RDS, Lambda) en CoddyKit. Esta es la lección 3 de 4. Puedes leer la lección completa abajo gratuitamente — luego la practicas en el navegador con un editor de código integrado y un tutor de IA 24/7. Forma parte de la ruta de aprendizaje de AWS for Backend Developers (EC2, S3, RDS, Lambda), y tu progreso se sincroniza en la web y la app de CoddyKit. El curso de AWS for Backend Developers (EC2, S3, RDS, Lambda) incluye 4 lecciones en total.

Partes de esta lección aún no han sido traducidas y se muestran en inglés.

What is AWS SAM?

Welcome to the AWS Serverless Application Model (SAM)! SAM is an open-source framework that helps you build, test, and deploy serverless applications on AWS faster and easier.

Think of it as a simplified way to define your serverless resources like Lambda functions and API Gateway endpoints.

SAM: CloudFormation's Helper

At its core, SAM is an extension of AWS CloudFormation. It provides a shorthand syntax for common serverless components.

When you deploy a SAM application, SAM transforms your simplified template into a full AWS CloudFormation template, ensuring you get all the benefits of CloudFormation's robust deployment capabilities.

SAM Template Structure

SAM applications are defined in a SAM template, typically a YAML file named template.yaml. Key sections include:

  • AWSTemplateFormatVersion: Standard CloudFormation version.
  • Transform: AWS::Serverless-2016-10-31: This line tells CloudFormation to process the template using SAM.
  • Resources: Where you define your serverless components (functions, APIs, databases).

Defining a Serverless Function

The primary resource for a Lambda function in SAM is AWS::Serverless::Function. This resource simplifies defining a Lambda function and its related configurations.

You specify properties like Handler (the function entry point), Runtime (e.g., python3.9), and CodeUri (the path to your function's code).

Integrating with API Gateway

To expose your Lambda function via an HTTP endpoint, you can directly define Events within your AWS::Serverless::Function resource.

Using the Api event type automatically provisions an Amazon API Gateway endpoint. You specify the Path and Method for your API route.

Your First SAM Template

Here's a basic template.yaml that defines a Python Lambda function triggered by an API Gateway GET request on the /hello path.

The CodeUri: hello_world/ indicates that the Lambda code is in a local directory named hello_world.

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: A simple "Hello World" SAM app.

Resources:
  HelloWorldFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: app.lambda_handler
      Runtime: python3.9
      CodeUri: hello_world/
      MemorySize: 128
      Timeout: 30
      Events:
        HelloWorldApi:
          Type: Api
          Properties:
            Path: /hello
            Method: GET

The Lambda Function Code

This is the Python code (app.py) that resides inside the hello_world/ directory. This function will be executed when the API Gateway endpoint is invoked.

It simply returns a JSON response with a "Hello from SAM Lambda!" message.

import json

def lambda_handler(event, context):
    """
    Handles API Gateway requests and returns a simple greeting.
    """
    print("Received an event:", event) # For logging
    return {
        "statusCode": 200,
        "headers": {
            "Content-Type": "application/json"
        },
        "body": json.dumps({
            "message": "Hello from SAM Lambda!"
        }),
    }

# Example local invocation (for direct script testing)
if __name__ == "__main__":
    test_event = {
        "httpMethod": "GET",
        "path": "/hello",
        "requestContext": {"requestId": "test-id-123"},
        "headers": {"User-Agent": "test-client"}
    }
    response = lambda_handler(test_event, None)
    print("Local Response:", response)

Building Your SAM Application

Before you can deploy or even test your application locally, you need to build it. The sam build command processes your template, gathers dependencies, and prepares your code for deployment.

It creates a .aws-sam/build directory containing the processed artifacts.

sam build

Testing Locally with SAM CLI

The SAM CLI provides powerful tools for local testing, saving you time and money by avoiding repeated deployments to AWS.

  • sam local invoke: Invokes a single Lambda function locally with a given event.
  • sam local start-api: Starts a local HTTP server that emulates API Gateway, allowing you to interact with your serverless API from your browser or curl.

sam local start-api

Deploying Your Serverless App

Once your application is built and tested locally, you can deploy it to AWS using the sam deploy command.

The first time you deploy, it's recommended to use the --guided flag. This provides an interactive prompt to configure settings like stack name, AWS Region, and S3 bucket for deployment artifacts.

sam deploy --guided

SAM CLI Quick Check

Which SAM CLI command is used to test your serverless API Gateway locally, allowing you to interact with it from your browser or curl?

Recap & Next Steps

Congratulations! You've learned the fundamentals of the AWS Serverless Application Model (SAM).

  • SAM simplifies serverless development by extending CloudFormation.
  • You can define Lambda functions and API Gateway endpoints easily in a template.yaml.
  • The SAM CLI allows you to build, test locally, and deploy your serverless applications efficiently.

SAM is a powerful tool for developing modern, event-driven applications on AWS!

Preguntas frecuentes

¿La lección «Serverless Application Model (SAM)» es gratis?

Sí — el texto completo de «Serverless Application Model (SAM)» es gratis para leer aquí en la web. Para practicarla de forma interactiva (editor de código integrado y tutor de IA 24/7) y desbloquear el resto del curso de AWS for Backend Developers (EC2, S3, RDS, Lambda), actualiza a CoddyKit PRO. El curso de AWS for Backend Developers (EC2, S3, RDS, Lambda) incluye 4 lecciones en total.

¿Qué aprenderé en «Serverless Application Model (SAM)»?

Defina, desarrolle y despliegue aplicaciones sin servidor mediante el framework AWS Serverless Application Model (SAM). Practicas AWS for Backend Developers (EC2, S3, RDS, Lambda) con código real que ejecutas directamente en el navegador, y un tutor de IA 24/7 responde tus preguntas mientras trabajas en la lección.

¿Necesito experiencia previa para empezar AWS for Backend Developers (EC2, S3, RDS, Lambda)?

No se requiere experiencia previa. AWS for Backend Developers (EC2, S3, RDS, Lambda) en CoddyKit está estructurado para principiantes hasta estudiantes avanzados, así que puedes empezar aquí o desde el inicio y avanzar a tu ritmo. Esta es la lección 3 de 4.

¿Cuánto tiempo toma la lección «Serverless Application Model (SAM)»?

La mayoría de las lecciones de CoddyKit toman alrededor de 5–10 minutos. Cada una es compacta e interactiva, así que avanzas constantemente y retomas exactamente por donde dejaste en la web y la app.

¿Puedo escribir y ejecutar código en esta lección de AWS for Backend Developers (EC2, S3, RDS, Lambda)?

Sí. Cada lección de AWS for Backend Developers (EC2, S3, RDS, Lambda) incluye un editor de código integrado, así que escribes y ejecutas código real directamente en tu navegador y obtienes retroalimentación instantánea de IA — sin configuración local necesaria.

Todas las lecciones de este curso

  1. Conceptos básicos de CodeCommit y CodeBuild
  2. CodeDeploy para EC2 y Lambda
  3. Serverless Application Model (SAM)
  4. Infraestructura como código con CloudFormation
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