FinTech
Optimizing AWS Costs for a FinTech Company with 30% Cost Savings
FinTech based in Tokyo
30% Cost Reduction
2X Better Monitoring
100% Cost Visibility
Summary
A fast-growing FinTech company partnered with Aokumo to optimize its AWS infrastructure, reducing costs while improving performance. Cloud expenses grew exponentially as their user base expanded, and performance issues surfaced during peak hours.
Aokumo analyzed and restructured the company’s AWS infrastructure, leveraging cost-efficient managed services, right-sizing resources, and implementing AWS best practices.
The company significantly reduced operational expenses by implementing advanced AWS cost optimization strategies, while ensuring a scalable and high-performance cloud infrastructure.
The Challenge
The company’s AWS costs were increasing exponentially, directly impacting profitability. At the same time, users faced performance issues, particularly during peak transaction hours.
- Unoptimized Cloud Resources: Some AWS services were idle, underutilized, or overutilized, leading to inefficient spending.
- Lack of Cost Visibility: The absence of granular cost breakdowns made it difficult to track and optimize spending.
- Over-Complicated Architecture: Inefficient data transfer and non-standard configurations added cost overhead.
- Limited Internal Expertise: The in-house team lacked experience in AWS cost optimization, making it difficult to implement efficient cost-saving strategies.
The Aokumo Solution
Aokumo conducted an end-to-end AWS cost optimization assessment and implemented a structured, cost-efficient architecture.
- Right-Sizing & Cost-Efficient Configuration: Restructured AWS services based on actual usage, reducing waste.
- Granular Cost Breakdown & Forecasting: Implemented detailed cost visibility tools to track and analyze spending patterns.
- AWS Managed Services Optimization: Reconfigured CDN, autoscaling, and database infrastructure for optimal price-performance balance.
- Savings Plans & Reserved Instances: Leveraged AWS Savings Plans to lock in lower rates while maintaining scalability.
- Enhanced Monitoring & Automation: Implemented automated alerts to detect underutilized or over-provisioned resources.
These optimizations not only reduced cloud costs but also ensured scalable, high-performance cloud infrastructure to support future growth.
The Results
Aokumo’s AWS cost optimization strategy delivered measurable financial and operational improvements:
- 30% Cost Reduction on AWS Infrastructure: Cloud spending aligned with business growth, reducing unnecessary expenses.
- 5X Enhanced Forecast Capabilities: Improved cost predictability through automated resource optimization.
- 100% Visibility into Infrastructure and Costs: Full insight into resource utilization, enabling data-driven decision-making.
- 2X Better Monitoring: Improved real-time tracking and proactive issue resolution for cloud operations.
Conclusion
Aokumo’s AWS cost optimization strategy enabled the FinTech company to cut cloud expenses by 30%, enhance cost forecasting, and improve infrastructure monitoring. By implementing right-sizing strategies, AWS best practices, and automated cost tracking, the company now maintains scalable, high-performance cloud operations at a lower cost.
This case study highlights how cloud cost efficiency can drive financial and operational success in FinTech. Aokumo continues to help companies optimize cloud spending while maintaining security, scalability, and performance.
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