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- Highlighted the static nature of the frontend and optional backend functionality.
- Added standardized options for each question to improve user-friendliness.
- Included detailed steps for deploying both the frontend and backend to Azure.
- Provided a clear example of how the tool works.
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The **Azure Databases Advisor Tool** is designed to help users select the most suitable Azure database service based on their specific use case. It provides recommendations by analyzing user inputs such as data type, scalability needs, latency requirements, and more.
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This tool consists of:
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-**Static Frontend**: A web-based interface for users to input their requirements and view recommendations.
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-**Static Frontend**: A web-based interface for users to input their requirements and view recommendations. The frontend operates independently and uses hardcoded logic for recommendations.
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-**Optional Backend**: A Flask API that processes user inputs and provides dynamic recommendations. The backend must be deployed separately to enable advanced functionality.
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## Features
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The tool now includes the following questions to refine recommendations:
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-**Data Volume**: Expected size and growth.
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- Options: `<10GB`, `10GB-1TB`, `>1TB`.
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-**Data Type**: Structured, semi-structured, or unstructured.
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-**Performance Requirements**: Latency and throughput needs.
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-**Scalability**: Horizontal or vertical scaling, global distribution.
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