Client Overview
A leading energy company operating a hybrid cloud platform across AWS and Azure sought to optimize its cloud spend and improve operational efficiency.
Need for Change
Despite having a capable cloud team that delivers end-to-end services—including service request management, incident and change handling, platform governance, DevOps, and infrastructure as code (IaC) support—the organization lacked centralized cost governance and real-time visibility. This gap led to monthly cloud bills consistently exceeding forecasts, inefficient resource utilization, and delayed corrective actions. The need for change was driven by mounting financial pressure, operational inefficiencies, and the absence of automated controls to proactively manage and optimize cloud spend. The client needed strategic cost governance and real-time optimization to unlock savings.
Business Challenges
As cloud adoption scaled across the enterprise, multiple teams including cloud operations, application development, finance, and governance, began facing mounting financial and operational pressures. Monthly bills consistently exceeded forecasts, and the lack of visibility into resource utilization made it difficult for stakeholders to pinpoint inefficiencies and take corrective action. These challenges underscored the urgent need for a robust cloud cost optimization strategy, one that could deliver real-time insights, eliminate waste, and align cloud investments with business priorities.
Manual Cost Tracking and Reporting
Fragmented Visibility Across Platforms
Resource Inefficiencies
Limited Automation and Monitoring
Lack of Governance Controls
Key objectives
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Establish centralized governance and monitoring for the entire agent lifecycle and cost tracking
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Enable dynamic orchestration of agents across real-time and static data sources
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Integrate seamlessly with internal systems and support open-source frameworks
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Implement robust AI testing and evaluation mechanisms
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Reduce time-to-market through reusable components and streamlined deployment
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Ensure secure access and global compliance through role-based access control (RBAC)
LTIMindtree’s Solution
To address the client’s escalating cloud costs and operational inefficiencies, LTIMindtree delivered a comprehensive, insight-driven cloud cost optimization strategy and solution. The solution was designed not just to reduce costs, but to embed a culture of continuous optimization and visibility. LTIMindtree enabled the client to transition from reactive cost control to proactive cloud financial management and governance. This shift was a cornerstone of the broader cloud cost optimization strategy—ensuring sustained savings, improved forecasting accuracy, and smarter resource utilization across cloud environments.
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Comprehensive Cloud Assessment
Conducted a deep-dive analysis of AWS and Azure usage patterns to identify high-cost services, inefficiencies, and optimization opportunities.
Automated Resource Optimization
- Right-sized EC2 instances, RDS, and SQL VMs based on actual usage.
- Scheduled non-production workloads to operate only during business hours.
- Purchased reserved instances for predictable workloads to reduce long-term costs.
- Enabled intelligent tiering on S3 buckets and optimized backup policies.
- Reduced ingestion of unnecessary CloudTrail logs and decommissioned unused resources.
Governance and Guardrails Implementation
Established automated guardrails to enforce tagging standards, apply intelligent tiering, and manage log retention. Integrated anomaly detection to flag cost spikes and trigger corrective actions.
Unified Cost Visibility
Developed a Power BI dashboard that provided real-time, application-wise and environment-wise visibility into cloud spend.
Collaboration with Application Teams
Worked closely with stakeholders to align service tiers with workload behaviour and business priorities.
Technology Stack
| Cloud Platforms | AWS, Azure |
| Visualization | Power BI |
| Automation & Integration | Python, Lambda, APIs |
Business Benefits
The cloud cost optimization solution delivered measurable financial impact and operational improvements across the client’s hybrid cloud landscape. It reduced immediate spend and also laid the foundation for long-term governance, visibility, and automation in cloud financial management. By embedding intelligent cloud automation into the solution, the client gained the ability to proactively manage cloud resources, enforce policy-driven controls, and continuously optimize spend across AWS and Azure environments.
Key outcomes include:
Conclusion
This cloud cost optimization initiative marked a pivotal shift in the client’s cloud operations, from reactive cost control to proactive, insight-led financial governance. LTIMindtree’s approach embedded intelligent cloud automation, real-time visibility, and policy-driven guardrails to enable the organization to unlock significant savings while enhancing agility and operational resilience. The solution delivered an immediate financial impact of $3 million+ in savings across AWS and Azure and established a scalable framework for continuous optimization across the hybrid cloud ecosystem.
Ready to take control of your cloud spend?
Reach out at eugene.comms@ltimindtree.com to start your cloud cost optimization journey today.
