AWS Serverless Application Model (SAM)
Pelajari cara menentukan, mengembangkan, dan menerapkan aplikasi tanpa server menggunakan AWS SAM, kerangka kerja sumber terbuka untuk membangun aplikasi di AWS.
AWS Serverless Application Model (SAM) adalah pelajaran Serverless AWS Lambda Development gratis di CoddyKit. Ini adalah pelajaran 1 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 AWS Lambda Development, dan progresmu tersinkronisasi di web dan aplikasi CoddyKit. Kursus Serverless AWS Lambda Development mencakup 4 pelajaran total.
Bagian dari pelajaran ini belum diterjemahkan dan ditampilkan dalam bahasa Inggris.
Simplify Serverless with AWS SAM
AWS Serverless Application Model (SAM) is an open-source framework that simplifies building and deploying serverless applications on AWS.
It extends AWS CloudFormation, giving you a special, easier syntax for defining serverless resources like Lambda functions, API Gateways, and DynamoDB tables. SAM helps you manage your entire serverless app as a single unit.
SAM Template: The Blueprint
At the core of every SAM application is the template.yaml file. This YAML (or JSON) file acts as the blueprint, describing all the serverless resources that make up your application.
SAM templates are essentially AWS CloudFormation templates, but they include a crucial Transform property that unlocks SAM's simplified, serverless-specific syntax.
Anatomy of a SAM Template
Let's look at the key sections you'll find in a template.yaml file:
AWSTemplateFormatVersion: Standard CloudFormation version.Transform: AWS::Serverless-2016-10-31: This is vital! It tells CloudFormation to use SAM's simplified syntax.Description: A short explanation of your application.Resources: This is where you define all your serverless components like Lambda functions, APIs, and databases.
Defining a Serverless Function
In SAM, you define a Lambda function using the AWS::Serverless::Function resource type. You specify essential properties like its runtime, entry point (handler), memory, and how it gets triggered.
Type: AWS::Serverless::Function: Identifies it as a Lambda.Handler: The function within your code that AWS Lambda calls to begin execution (e.g.,app.lambda_handler).Runtime: The programming language environment (e.g.,python3.9,nodejs16.x).CodeUri: The local path to your function's source code.Events: Specifies how your function is invoked (e.g., an API Gateway endpoint).
Our 'Hello World' Lambda Handler
Here's a simple Python Lambda function. It will be the code executed when our serverless function is invoked. It just returns a 'Hello from Lambda!' message.
import json
def lambda_handler(event, context):
# Log the event for debugging purposes
print("Received event: " + json.dumps(event))
# Basic response for API Gateway
response = {
"statusCode": 200,
"body": json.dumps("Hello from Lambda!")
}
return responseSAM Template for Our Function
Now, let's define our 'Hello World' Lambda function in a template.yaml. We'll set it up to be triggered by an API Gateway GET request at the /hello path.
This template assumes your Python code (app.py) is in a folder named hello_world/ next to this template.yaml file.
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: A simple "Hello World" serverless application.
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: GETThe SAM CLI: Your Deployment Tool
The AWS SAM Command Line Interface (CLI) is your main tool for developing and deploying SAM applications. It provides commands to initialize projects, build dependencies, test locally, and deploy your application to AWS.
sam init: Start a new serverless project.sam build: Package your application code and dependencies.sam deploy: Deploy your application to AWS CloudFormation.
Building Your SAM Application
Before you can deploy your application, you need to 'build' it. The sam build command collects your code, bundles any dependencies (like Python packages), and prepares everything into a deployable package.
This command creates a .aws-sam directory containing the processed artifacts.
sam buildDeploying Your SAM Application
Once built, use sam deploy to push your application to AWS. This command creates or updates a CloudFormation stack based on your SAM template, provisioning all the necessary resources.
You'll need to specify a unique stack name and an S3 bucket for code artifacts. The --capabilities CAPABILITY_IAM argument acknowledges that your template creates IAM roles.
sam deploy --stack-name my-hello-app \
--s3-bucket your-unique-s3-bucket-name \
--capabilities CAPABILITY_IAM \
--region us-east-1Quick Check: SAM Template Components
Which of the following are essential components or sections found within a typical AWS SAM template (template.yaml)?
Recap: Your SAM Journey Begins!
You've just learned the fundamentals of AWS SAM!
- SAM simplifies serverless application development and deployment using a CloudFormation-based template.
- Key components include the
template.yamlwith itsTransformproperty andResourcessection. - The SAM CLI provides commands like
sam init,sam build, andsam deployto manage your applications.
With SAM, you can efficiently define, build, and deploy complex serverless architectures, making it a powerful tool for serverless development.
Pertanyaan yang Sering Diajukan
Apakah pelajaran “AWS Serverless Application Model (SAM)” gratis?
Ya — teks lengkap “AWS Serverless Application Model (SAM)” gratis dibaca di sini di web. Untuk praktiknya secara interaktif (editor kode bawaan dan tutor AI 24/7) dan buka sisa kursus Serverless AWS Lambda Development, upgrade ke CoddyKit PRO. Kursus Serverless AWS Lambda Development mencakup 4 pelajaran total.
Apa yang akan aku pelajari di “AWS Serverless Application Model (SAM)”?
Pelajari cara menentukan, mengembangkan, dan menerapkan aplikasi tanpa server menggunakan AWS SAM, kerangka kerja sumber terbuka untuk membangun aplikasi di AWS. Kamu berlatih Serverless AWS Lambda Development 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 AWS Lambda Development?
Tidak diperlukan pengalaman sebelumnya. Serverless AWS Lambda Development 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 1 dari 4.
Berapa lama pelajaran “AWS Serverless Application Model (SAM)” 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 AWS Lambda Development ini?
Ya. Setiap pelajaran Serverless AWS Lambda Development 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
- AWS Serverless Application Model (SAM)
- Pengantar Serverless Framework
- CI/CD untuk Aplikasi Tanpa Server
- Pengujian Lokal dengan SAM CLI