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->> Day-23 Setup End-to-End Observability in AWS Using Terraform
How-ToDevOps

->> Day-23 Setup End-to-End Observability in AWS Using Terraform

via Dev.to DevOpsAmit Kushwaha1mo ago

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

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