This article explores how to build a Flask-based web application that analyzes EC2 cost data, generates insightful visualizations, and leverages AWS S3 for storage and retrieval.
The application performs data ingestion, data analysis, visualization, storage, and retrieval of EC2 cost data.
Key components and code snippets include using Pandas for data analysis, Matplotlib and Seaborn for visualization, and boto3 for AWS S3 integration.
Considerations for security, scalability, error handling, and user experience are highlighted.