Serverless Backend with AWS Lambda & API Gateway · 강의

서버리스 리소스 정의

Lambda 함수, API Gateway 엔드포인트, DynamoDB 테이블 및 기타 서버리스 구성 요소를 정의하는 SAM 템플릿을 작성합니다.

서버리스 리소스 정의은(는) CoddyKit의 무료 Serverless Backend with AWS Lambda & API Gateway 강의입니다. 이것은 4개 중 2번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Serverless Backend with AWS Lambda & API Gateway 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Serverless Backend with AWS Lambda & API Gateway 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

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: Always AWS::Serverless-2016-10-31 for 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 here

Defining 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: 30

Key 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: GET

Defining 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: 1

IAM 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: String

Exporting 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::Function for Lambda.
Integrating Lambda with API Gateway using Events.
Defining AWS::Serverless::SimpleTable for DynamoDB.
Granting permissions with IAM Policies.
Using the Outputs section to export values.

Next, we'll learn how to deploy these templates to AWS!

자주 묻는 질문

“서버리스 리소스 정의” 강의는 무료인가요?

네 — “서버리스 리소스 정의” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Serverless Backend with AWS Lambda & API Gateway 강의 전체를 잠금 해제할 수 있습니다. Serverless Backend with AWS Lambda & API Gateway 강의에는 총 4개의 강의가 포함되어 있습니다.

“서버리스 리소스 정의”에서 뭘 배우나요?

Lambda 함수, API Gateway 엔드포인트, DynamoDB 테이블 및 기타 서버리스 구성 요소를 정의하는 SAM 템플릿을 작성합니다. 브라우저에서 직접 실행하는 실습 코드로 Serverless Backend with AWS Lambda & API Gateway을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Serverless Backend with AWS Lambda & API Gateway을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Serverless Backend with AWS Lambda & API Gateway은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 2번째 강의입니다.

“서버리스 리소스 정의” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Serverless Backend with AWS Lambda & API Gateway 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Serverless Backend with AWS Lambda & API Gateway 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

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