Complete AWS Lambda Guide | Serverless, API Gateway, DynamoDB, S3 & EventBridge
Key Takeaways
Complete guide to building serverless apps with AWS Lambda. Covers function writing, API Gateway, DynamoDB, S3, EventBridge, and Cold Start optimization with practical examples.
Real-World Experience: Migrating from traditional servers to Lambda reduced infrastructure costs by 80% and secured infinite scalability.
Introduction: “Server Management is Burdensome”
Real-World Problem Scenarios
Scenario 1: Server crashes when traffic spikes
EC2 instances are insufficient. Lambda scales automatically.
Scenario 2: Server costs are too high
24/7 running server costs are significant. Lambda charges only for usage.
Scenario 3: Server management is complex
Patching, security, and monitoring are cumbersome. Lambda is managed by AWS.
1. What is AWS Lambda?
Key Features
AWS Lambda is a serverless computing service.
Main Advantages:
- No server management: Managed by AWS
- Automatic scaling: Infinite scaling
- Usage-based billing: Charged only for execution time
- Event-driven: Integrates with S3, DynamoDB, etc.
- Fast deployment: Just upload code
Pricing:
- 1 million requests per month: Free
- After: $0.20 / 1 million requests
2. First Lambda Function
Node.js
Here’s an implementation example using JavaScript. Perform tasks efficiently with async processing. Please review the code to understand the role of each part.
// index.js
export const handler = async (event) => {
console.log('Event:', JSON.stringify(event));
return {
statusCode: 200,
body: JSON.stringify({
message: 'Hello from Lambda!',
input: event,
}),
};
};
Python
Here’s an implementation example using Python. Import necessary modules, implement logic through functions. Please review the code to understand the role of each part.
# lambda_function.py
import json
def lambda_handler(event, context):
print(f'Event: {json.dumps(event)}')
return {
'statusCode': 200,
'body': json.dumps({
'message': 'Hello from Lambda!',
'input': event
})
}
3. API Gateway Integration
REST API
Here’s a detailed implementation using YAML. Please review the code to understand the role of each part.
# serverless.yml (Serverless Framework)
service: my-api
provider:
name: aws
runtime: nodejs20.x
region: us-east-1
functions:
getUsers:
handler: handlers/users.getUsers
events:
- http:
path: users
method: get
cors: true
getUser:
handler: handlers/users.getUser
events:
- http:
path: users/{id}
method: get
cors: true
createUser:
handler: handlers/users.createUser
events:
- http:
path: users
method: post
cors: true
Handler
Here’s a detailed implementation using JavaScript. Import necessary modules, perform tasks efficiently with async processing, ensure stability with error handling, handle branching with conditionals. Please review the code to understand the role of each part.
// handlers/users.js
import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
import { DynamoDBDocumentClient, ScanCommand, GetCommand, PutCommand } from '@aws-sdk/lib-dynamodb';
const client = new DynamoDBClient({});
const docClient = DynamoDBDocumentClient.from(client);
export const getUsers = async (event) => {
const command = new ScanCommand({
TableName: 'Users',
});
const result = await docClient.send(command);
return {
statusCode: 200,
headers: {
'Content-Type': 'application/json',
'Access-Control-Allow-Origin': '*',
},
body: JSON.stringify(result.Items),
};
};
export const getUser = async (event) => {
const { id } = event.pathParameters;
const command = new GetCommand({
TableName: 'Users',
Key: { id },
});
const result = await docClient.send(command);
if (!result.Item) {
return {
statusCode: 404,
body: JSON.stringify({ error: 'User not found' }),
};
}
return {
statusCode: 200,
body: JSON.stringify(result.Item),
};
};
export const createUser = async (event) => {
const body = JSON.parse(event.body);
const command = new PutCommand({
TableName: 'Users',
Item: {
id: Date.now().toString(),
...body,
createdAt: new Date().toISOString(),
},
});
await docClient.send(command);
return {
statusCode: 201,
body: JSON.stringify({ message: 'User created' }),
};
};
4. DynamoDB Integration
Table Creation
Here’s an implementation example using YAML. Please review the code to understand the role of each part.
# serverless.yml
resources:
Resources:
UsersTable:
Type: AWS::DynamoDB::Table
Properties:
TableName: Users
AttributeDefinitions:
- AttributeName: id
AttributeType: S
KeySchema:
- AttributeName: id
KeyType: HASH
BillingMode: PAY_PER_REQUEST
5. S3 Events
S3 Trigger
Here’s an implementation example using YAML. Try running the code directly to see how it works.
functions:
processImage:
handler: handlers/images.process
events:
- s3:
bucket: my-images-bucket
event: s3:ObjectCreated:*
rules:
- suffix: .jpg
Handler
Here’s a detailed implementation using JavaScript. Import necessary modules, perform tasks efficiently with async processing, process data with loops. Please review the code to understand the role of each part.
// handlers/images.js
import { S3Client, GetObjectCommand, PutObjectCommand } from '@aws-sdk/client-s3';
import sharp from 'sharp';
const s3 = new S3Client({});
export const process = async (event) => {
for (const record of event.Records) {
const bucket = record.s3.bucket.name;
const key = record.s3.object.key;
// Get original image
const getCommand = new GetObjectCommand({ Bucket: bucket, Key: key });
const { Body } = await s3.send(getCommand);
// Resize
const resized = await sharp(Body)
.resize(800, 600)
.toBuffer();
// Save
const putCommand = new PutObjectCommand({
Bucket: bucket,
Key: `resized/${key}`,
Body: resized,
});
await s3.send(putCommand);
}
return { statusCode: 200, body: 'Processed' };
};
6. EventBridge (Scheduling)
Here’s an implementation example using YAML. Try running the code directly to see how it works.
functions:
dailyReport:
handler: handlers/reports.daily
events:
- schedule:
rate: cron(0 9 * * ? *) # Daily at 9 AM
enabled: true
7. Cold Start Optimization
1. Runtime Selection
provider:
runtime: nodejs20.x # Fast Cold Start
# runtime: python3.12 # Slow Cold Start
2. Increase Memory
Here’s a simple YAML code example. Try running the code directly to see how it works.
functions:
api:
handler: index.handler
memorySize: 1024 # Default 128MB → 1024MB
3. Provisioned Concurrency
Here’s a simple YAML code example. Try running the code directly to see how it works.
functions:
api:
handler: index.handler
provisionedConcurrency: 2 # Always keep 2 ready
4. Bundle Optimization
Here’s an implementation example using JavaScript. Try running the code directly to see how it works.
// webpack.config.js
module.exports = {
target: 'node',
mode: 'production',
externals: ['aws-sdk'], // Exclude AWS SDK
optimization: {
minimize: true,
},
};
8. Practical Example: Image Upload API
Here’s a detailed implementation using JavaScript. Import necessary modules, perform tasks efficiently with async processing. Please review the code to understand the role of each part.
// handlers/upload.js
import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';
import { getSignedUrl } from '@aws-sdk/s3-request-presigner';
const s3 = new S3Client({});
export const getUploadUrl = async (event) => {
const { filename, contentType } = JSON.parse(event.body);
const command = new PutObjectCommand({
Bucket: 'my-uploads-bucket',
Key: `uploads/${Date.now()}-${filename}`,
ContentType: contentType,
});
const uploadUrl = await getSignedUrl(s3, command, { expiresIn: 3600 });
return {
statusCode: 200,
body: JSON.stringify({ uploadUrl }),
};
};
Summary and Checklist
Key Summary
- AWS Lambda: Serverless computing
- Automatic scaling: Infinite scaling
- Usage-based billing: Execution time only
- API Gateway: Build REST APIs
- DynamoDB: NoSQL database
- S3: File storage
Implementation Checklist
- Write Lambda functions
- Configure API Gateway
- Integrate DynamoDB
- Handle S3 events
- Optimize Cold Start
- Set up monitoring
- Deploy
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Keywords Covered in This Article
AWS, Lambda, Serverless, API Gateway, DynamoDB, S3, Cloud
Frequently Asked Questions (FAQ)
Q. Lambda vs EC2, which is better?
A. Lambda is advantageous for intermittent traffic. EC2 is advantageous for continuous traffic. Consider cost and management convenience.
Q. How long does Cold Start take?
A. Node.js is 100-300ms, Python is 200-500ms, Java is 1-3 seconds. Can be eliminated with Provisioned Concurrency.
Q. Is there an execution time limit?
A. Maximum 15 minutes. For longer tasks, use Step Functions or ECS.
Q. Is it safe to use in production?
A. Yes, many companies including Netflix and Coca-Cola use it.