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The primary objective of this project was to help Quantum Financials gain better control over their cloud spending. The focus was on implementing FinOps practices to optimize costs, improve efficiency, and align cloud investments with business objectives.
CloudHealth, AWS Cost Explorer
Python, Shell scripting for automated clean-up and scaling, Terraform, AWS Glue
Advanced ML algorithms for predictive budgeting
Policy enforcement and compliance checks
Quantum Financials faced several challenges
The organization had no visibility into their cloud spending, leading to budget overruns.
Cloud investments were not aligned with business objectives, causing financial drain and operational inefficiencies.
There was no governance model in place, resulting in inefficient resource utilization.
We implemented a comprehensive FinOps strategy to address Quantum Financials' challenges
Established a governance model using policy enforcement tools to ensure compliance and efficient resource utilization.
Deployed cost monitoring tools like CloudHealth and AWS Cost Explorer to provide real-time visibility into cloud spending.
Utilized machine learning algorithms to predict future spending and align it with business objectives.
Implemented automation scripts for resource clean-up and auto-scaling, reducing waste and optimizing costs
The implementation of AIVEDA’s FinOps solutions led to significant improvements:
Ready to take control of your cloud financial management? Our specialized FinOps solutions are tailored to meet the unique challenges of your organization. Engage with our experts to find out how AIVeda can provide a customized solution for you.
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