AWS Serverless – Explained Simply

☁️ AWS Serverless – Explained Simply

AWS Serverless means you run applications without managing servers.

AWS automatically handles:

• Server provisioning
• Scaling
• Patching
• Availability

You pay only for what you use.

🔹 Core AWS Serverless Services

1️⃣ AWS Lambda (Heart of Serverless)

Run code without servers.

• Supports: Python, Node.js, Java, Go, .NET
• Event-driven (API calls, S3 uploads, DynamoDB updates)

Example:

def lambda_handler(event, context):

return {

'statusCode': 200,

'body': 'Hello from AWS Lambda'

}

2️⃣ Amazon API Gateway

• Creates REST / HTTP APIs
• Connects frontend → Lambda
• Handles authentication & throttling

Use case:

➡️ Frontend → API Gateway → Lambda → Database

3️⃣ Amazon DynamoDB

• Fully serverless NoSQL database
• Auto scaling
• Millisecond latency

Used for:

• User data
• Session storage
• Logs

4️⃣ Amazon S3

• Object storage (images, videos, backups)
• Can trigger Lambda functions

Example:

➡️ Upload image → Lambda resizes image automatically

5️⃣ AWS Step Functions

• Orchestrate multiple Lambdas
• Visual workflows
• Error handling & retries

6️⃣ Amazon CloudWatch

• Logs
• Metrics
• Alarms for Lambda & APIs

🔹 Serverless Architecture Example

User

↓

API Gateway

↓

AWS Lambda

↓

DynamoDB

No EC2 ❌

No server maintenance ❌

Auto scaling ✅

🔹 Benefits of AWS Serverless

✅ No server management

✅ Automatic scaling

✅ High availability

✅ Cost-effective

✅ Faster development