How a Leading Fintech Achieved 75% Reduction in Unattributed Cloud Costs

75% reduction in unattributed cloud costs|15% improvement in cost allocation accuracy| 95% total visibility across a $40M+ GCP infrastructure.

That’s how one of India’s largest fintech unicorns transformed its cloud cost management with Opslyft, turning fragmented spend data into actionable financial intelligence.

The Challenge: Untangling Complex Shared Cloud Costs

This fintech giant serves 13M+ users and commands 25% of India’s stock trading market share, powered by a multi-tenant GCP setup built for scale and speed. But rapid growth came with hidden inefficiencies.

• Extensive Resource Sharing: Nearly 40% of cloud resources were shared across business units, making it difficult to identify which product lines were truly driving value.
• Poor Tagging Discipline: Only 40% of resources were properly tagged, and 20% were completely untagged, leaving millions in costs unattributed.
• Kubernetes Complexity: GCP’s native data visibility stopped at the machine level, making it impossible to break down costs for containerised workloads.
• Marketplace Cost Confusion: Third-party marketplace service charges were difficult to distribute, causing recurring conflicts between finance and engineering teams.

Leadership needed to fix one core problem ,accurately link cloud spend to business outcomes to understand ROI per product and enable sustainable growth.

The Solution: Automating Cost Attribution at Scale

Opslyft introduced advanced cost attribution intelligence across its entire GCP ecosystem, without requiring massive re-tagging or manual interventions.

• Advanced Shared Resource Logic: Sophisticated attribution models distributed shared resource costs based on actual usage and business logic, giving every business unit precise ownership.
• Automated Cost Discovery: Opslyft increased cost allocation visibility from 40% to 95%, mapping costs across business units automatically and eliminating manual spreadsheets.
• Kubernetes Intelligence: By segregating and attributing Kubernetes costs separately from general GCP spend, the organisation achieved 100% visibility into containerised workloads.
• Marketplace Cost Attribution: Advanced mapping capabilities accurately distribute marketplace service costs, enabling clear accountability for every dollar spent.

The Impact: Full Visibility and True Accountability

• ✅Cost Allocation Increased from 40% → 95%, giving leadership a holistic view of cloud expenses across all business units.
• ✅Unattributed Cloud Costs Reduced by 75%, from 20% down to just 5%.
• ✅100% Kubernetes Visibility, ensuring containerised workloads were tracked and attributed with precision.
• ✅15% of Previously Unattributed Costs Reassigned, creating clear accountability and enabling data-driven investment decisions.

The organisation now has complete control over its $40M+ annual GCP spend, with accurate cost attribution powering smarter forecasting, better budgeting, and confident business planning.