Case Study
A leading supplier of eye health products collaborated with Infosys to implement FinOps, enabling the identification of AWS cloud expenditures across various business units. This facilitated informed decision-making regarding cloud spending.
The FinOps project undertaken by Infosys empowered the company to analyze and optimize costs and usage across all AWS environments, addressing key challenges related to high cloud costs and lack of FinOps awareness among stakeholders.
Key Challenges
- High Cloud Costs: Facing significant cloud expenditure without a clear understanding of cost optimization strategies.
- Lack of FinOps Governance: Absence of a structured FinOps governance framework and the implementation of best practices to manage cloud spending efficiently.
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Talk To ExpertsThe Solution
Establishing a FinOps Center of Excellence (CoE) for Cost Optimization
Infosys assisted the client in setting up a robust governance model involving application owners, network and security teams, Cloud Center of Excellence (CCoE), Cloud Operations (CloudOps), and FinOps teams. This model, developed using Infosys Cobalt framework, facilitated effective cost management and optimization strategies.
Driving Cloud Cost Optimization with FinOps
Rapid Cost Reduction: Achieved 30% cost savings within 12 weeks through targeted optimization initiatives and stakeholder workshops.
Enhanced Resource Management: Implemented automated inventory analysis and idle resource visualization, optimizing resource utilization across AWS environments.
Avoided Unnecessary Expenses: Prevented additional purchases of savings plans and Reserved Instances (RIs) through proactive optimization measures.
Benefits
Discovery and Assessment of Cloud Assets: Identified cloud assets and recommended cost-saving measures resulting in over 45% potential savings.
Rapid Cost Reduction: Achieved 30% cost savings within just 12 weeks through workshops and targeted optimization efforts.
Avoided Unnecessary Expenses: Prevented additional purchases of savings plans and Reserved Instances (RIs) through optimization initiatives.
Enhanced Resource Management: Implemented automated inventory analysis, idle resource visualization, and application-wise resource usage assessments, leading to improved resource utilization.
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