How we helped a Series C FinTech eliminate $1.8M in annual cloud waste through intelligent automation and predictive resource management.
$1.8M
Annual Savings
Reduction in cloud spend
35%
Cost Reduction
Overall infrastructure costs
12x
ROI
Return on engagement investment
12 weeks
Time to Value
From kickoff to production
A 12-week engagement transforming cloud cost management for a high-growth FinTech.
A rapidly scaling Series C FinTech company approached us with a critical challenge: their AWS infrastructure costs had ballooned to over $450,000 per month, with no visibility into resource utilization or cost attribution. Engineering teams were provisioning resources without governance, leading to significant "zombie" infrastructure that served no production purpose but continued to accrue charges.
We deployed Cloud Sentinel, an AI-powered infrastructure optimization platform that combines real-time monitoring, predictive analytics, and automated remediation. Using custom Python agents and Meta's Prophet forecasting library, we built a system that not only identified waste but predicted future resource needs with 94% accuracy.
Within twelve weeks of deployment, the client achieved a 35% reduction in cloud spend—translating to $1.8M in annual savings. More importantly, the platform continues to optimize autonomously, ensuring sustainable cost efficiency as the company scales.
Four interconnected problems were driving unsustainable cloud costs and creating operational risk for the organization.
Over 2,400 EC2 instances across 12 AWS accounts with no centralized visibility. Development teams provisioned resources without decommissioning processes.
Monthly cloud bills varied by 40%+ with no forecasting capability. Finance team struggled to allocate costs to business units accurately.
Infrastructure team spent 20+ hours weekly on manual resource reviews. No automated enforcement of cost policies or lifecycle management.
Zombie resources created attack surface vulnerabilities. Unpatched instances and forgotten S3 buckets posed compliance risks.
"We were hemorrhaging money on cloud resources we didn't even know existed. Every month, Finance would ask why our AWS bill was different, and we had no answers."
A phased methodology combining deep technical analysis with sustainable automation that operates autonomously post-engagement.
Cloud Sentinel leverages a serverless, event-driven architecture designed for minimal operational overhead and maximum scalability.
CloudWatch, Cost Explorer, Trusted Advisor APIs
Prophet forecasting, anomaly detection, pattern recognition
Resource rightsizing, Spot management, alerts
Python
Core Language
AWS Lambda
Serverless Compute
Prophet
Time Series Forecasting
Terraform
Infrastructure as Code
CloudWatch
Monitoring
Cost Explorer API
Cost Analysis
EventBridge
Event Orchestration
DynamoDB
State Management
Measurable outcomes delivered within the first 90 days of deployment.
Eliminated 847 zombie resources within the first month
Achieved 94% Spot Instance utilization with <2% interruption rate
Reduced average instance size by 23% through rightsizing
Implemented predictive scaling reducing over-provisioning by 31%
Established real-time cost anomaly detection with 15-minute alerting
Created automated compliance reports for SOC 2 and ISO 27001 audits
Engagement Investment
$150,000
12-week fixed-price engagement
First-Year Savings
$1,800,000
Annualized cloud cost reduction
Payback Period
31 Days
Time to recover investment
"The Lesos team didn't just optimize our cloud costs—they transformed how we think about infrastructure. Cloud Sentinel runs autonomously, and we haven't touched it in months. It just works, saving us money every day."
Insights from this engagement that inform our approach to cloud optimization projects.
The first two weeks of pure discovery and tagging paid dividends. You can't optimize what you can't see. Rushing to automation without proper visibility leads to suboptimal results.
Engineering teams resist cost optimization when it threatens their velocity. Framing savings as "budget for new initiatives" rather than "cuts" changed the conversation entirely.
Autonomous optimization requires robust rollback capabilities. We implemented 15-minute observation windows before any automated action becomes permanent.
Most organizations are overspending by 25-40% on cloud infrastructure. Let's discuss how we can help you identify and eliminate waste.