AWS Serverless Pipeline (Terraform)

Project Overview

This project demonstrates an event-driven serverless architecture on AWS using Terraform.

When a file is uploaded to S3, it automatically triggers a Lambda function, which processes the event and stores metadata in DynamoDB.

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Architecture Flow

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Services Used

• AWS S3 (Storage)
• AWS Lambda (Compute)
• AWS DynamoDB (Database)
• AWS IAM (Permissions)
• Terraform (Infrastructure as Code)

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Features

• Fully automated infrastructure using Terraform
• Event-driven architecture
• Serverless (no server management)
• Scalable and cost-efficient

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Project Structure

lambda-terraform/
│
├── main.tf
├── lambda_function.py
├── lambda.zip
└── README.md

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How It Works

1. User uploads a file to S3 bucket
2. S3 triggers Lambda function
3. Lambda extracts file name
4. Lambda stores data in DynamoDB

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How to Run

1. Initialize Terraform

terraform init

2. Plan Infrastructure

terraform plan

3. Apply Infrastructure

terraform apply

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Testing

1. Upload a file to S3 bucket
2. Check Lambda logs in CloudWatch
3. Verify entry in DynamoDB

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Common Issues

• S3 bucket name must be globally unique
• Lambda zip file must contain code at root
• Ensure correct IAM permissions

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Learnings

• Terraform basics (init, plan, apply)
• Event-driven architecture
• AWS Lambda integration with S3 and DynamoDB

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📸 Screenshots

⚙️ Terraform Initialization

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🚀 Terraform Apply (Infrastructure Creation)

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🪣 S3 Bucket Created

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⚡ Lambda Function

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🔗 Lambda Trigger (S3 → Lambda)

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📊 CloudWatch Logs (Execution)

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Author

Ayush Nath Motichur