Cloud Cost Discrepancy Analysis & Optimization Tool
The complexity of cloud computing often leads to unexpected costs and inefficiencies. To address this, we're developing a web application that analyzes cloud spending data from multiple providers, identifying cost discrepancies and providing actionable optimization recommendations. Python serves as the backbone of this project, interacting with cloud provider APIs and performing data analysis. Cloud provider APIs from AWS, Azure, and GCP provide access to spending data. PostgreSQL efficiently stores and manages this data. React is used for the frontend. This tool aims to significantly reduce cloud spending, improve resource allocation, and provide better visibility and control over cloud costs, ultimately helping businesses optimize their cloud investments.