S3 Image Optimizer - AWS Lambda (Go + Terraform)

Overview

This project is an AWS Lambda function written in Go that automatically: Fetches images from an S3 bucket.
Optimizes (resizes & compresses) images using imaging.
Uploads optimized images to another S3 bucket.
Uses a worker pool for efficient parallel processing.

Infrastructure is deployed using Terraform, ensuring:

• IAM roles & permissions for Lambda & S3.
• Automatic S3 event triggers (optional) to process new uploads.

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Technologies Used

Backend

• Go (AWS Lambda runtime)
• AWS SDK for Go v2
• Disintegration/imaging (Image processing)

Infrastructure

• Terraform (Infrastructure as Code)
• AWS Lambda (Serverless compute)
• Amazon S3 (Storage for images)
• IAM (Permissions & security)

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Setup & Deployment

1. Build & Package Lambda

Ensure you have Go installed, then build and zip the Lambda function:

GOOS=linux GOARCH=amd64 go build -o bootstrap main.go
zip lambda.zip bootstrap

2. Deploy with Terraform

terraform init
terraform apply -auto-approve

3. Upload an Image to S3 (only applies if you deploy terraform with optional s3 policy)

aws s3 cp image.jpg s3://my-source-bucket/uuid/image.jpg

4. Check Optimized Image in Destination Bucket

aws s3 ls s3://my-destination-bucket/optimized/uuid/

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🔧 Configuration

Modify environment variables in Terraform (main.tf):

environment {
  variables = {
    SOURCE_BUCKET      = "my-source-bucket"
    DESTINATION_BUCKET = "my-destination-bucket"
  }
}

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🛠 Troubleshooting

• Check CloudWatch logs for errors:

  aws logs tail /aws/lambda/ImageOptimizerLambda --follow

• Ensure IAM permissions allow S3 read/write access.

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📜 License

This project is licensed under the MIT License.