A production-ready AWS Lambda function for automated image processing with enterprise-grade CloudWatch monitoring, implemented using modular Terraform.
Overview:
This project demonstrates AWS serverless best practices by combining:
- Lambda-based image processing (resize, compress, format conversion)
- S3 event-driven architecture (automatic triggering)
- Comprehensive CloudWatch monitoring (metrics, alarms, dashboards)
- SNS alerting (email/SMS notifications)
- Modular Terraform (reusable, maintainable infrastructure)
What It Does-
- Upload an image to S3 upload bucket
- Lambda function automatically triggers
- Processes image (creates 5 variants: compressed, low-quality, WebP, PNG, thumbnail)
- Saves processed images to destination bucket
- Monitors everything with CloudWatch metrics and alarms
- Sends alerts via SNS when issues occur
Architecture
Key Features:-
Image Processing
- Multiple format supports (JPEG, PNG, WebP, BMP, TIFF)
- Automatic format conversion
- Quality-based compression (85%, 60%)
- Thumbnail generation (300x300)
- Large image resizing (max 4096px)
- Automatic color space conversion
Monitoring & Observability
12 CloudWatch Alarms:
- Error rate monitoring
- Duration/timeout warnings
- Throttle detection
- Memory usage tracking
- Concurrent execution limits
- Log-based error patterns
Custom Metrics:
- Image processing time
- Image sizes processed
- Success/failure rates
- Business-level insights
Comprehensive Dashboard:
- Real-time metrics visualization
- AWS metrics + custom metrics
- Log insights integration
- Performance trends
Log-Based Alerts:
- Timeout detection
- Memory errors
- S3 permission issues
- Image processing failures
- Critical application errors
Infrastructure
- Modular Terraform (6 reusable modules)
- Security best practices (IAM least privilege, S3 encryption)
- Scalable architecture (auto-scaling Lambda)
- Cost-optimized (pay per use)
- Environment-agnostic (dev/staging/prod)
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