UC-150 Azure Migration Assistant

Migrating to the Azure cloud platform poses unique cost-assessment and planning challenges. Our project introduces a user-friendly, AI-driven tool to simplify this process by providing real-time cost predictions and personalized migration strategies. Built with a React frontend and a Flask-based Python backend, this tool integrates Azure Pricing APIs to ensure accurate data. Future improvements include adding alerts, custom fine-tuned model, CI/CD, multi-cloud support, and a discovery agent for enhanced functionality.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2024-11-20
Primary Topic
Lichen and fungal ecology
Type
article
Field-Weighted Citation Impact
0.00
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article

UC-150 Azure Migration Assistant

DigitalCommons - Kennesaw State University (Kennesaw State University)
Lichen and fungal ecology
article

UC-150 Azure Migration Assistant

article en

Abstract

Migrating to the Azure cloud platform poses unique cost-assessment and planning challenges. Our project introduces a user-friendly, AI-driven tool to simplify this process by providing real-time cost predictions and personalized migration strategies. Built with a React frontend and a Flask-based Python backend, this tool integrates Azure Pricing APIs to ensure accurate data. Future improvements include adding alerts, custom fine-tuned model, CI/CD, multi-cloud support, and a discovery agent for enhanced functionality.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Reduced inequalities
Openalex Percentile: Top 32%
Lichen and fungal ecology
OpenAlex
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UC-150 Azure Migration Assistant · DigitalCommons - Kennesaw State University (Kennesaw State University) (2024) | TGRS Research Map | TGRS