Industry: SaaS / Financial Technology (FinTech)
Built for SaaS and FinTech leaders, this initiative addressed spiraling infrastructure costs and eroding gross margins. By implementing automated resource governance, we enabled the CTO and Finance teams to regain control over their AWS ecosystem.
Problem
- Cloud Bill Shock: Rapid scaling caused a 200% surge in monthly spend, outpacing revenue.
- Resource Underutilization: Over-provisioned EC2 and idle RDS instances were running at peak capacity 24/7.
- Lack of Attribution: No visibility into which features or clients drove the highest costs.
- Storage Bloat: Accumulation of unattached EBS volumes and outdated S3 snapshots.
Solution
- Automated Lifecycle Management: Engineered an n8n-orchestrated "Schedule Bot" to automatically shut down Dev/Staging environments outside business hours.
- Intelligent Right-Sizing: Deployed Python (Boto3) scripts to analyze CloudWatch metrics and migrate workloads to cost-effective AWS Graviton instances.
- Spot Instance Orchestration: Shifted non-critical background processing to Spot Instances with automated On-Demand fallback to maintain stability.
- Storage Tiering & Cleanup: Automated data transitions to S3 Glacier and used Lambda functions to purge orphaned "zombie" volumes.
Tech Stack
- Orchestrationn8n (Scheduling & Logic)
- InfrastructureAWS (EC2, RDS, S3, Lambda)
- Data AnalysisPython (Boto3 SDK)
- ReportingGoogle Sheets (Dashboards) & Slack (Alerts)
Results
- Immediate Savings: Realized a 34% reduction in total monthly cloud spend within 30 days.
- Operational Efficiency: Decommissioned 50+ unused instances and cleared 4TB of "zombie" data.
- Zero Downtime: Achieved aggressive cost cuts without service interruptions.
- Financial Clarity: Delivered 100% accurate cost-per-department reporting for budget planning.
- Final Verdict: The infrastructure now operates on a "pay-for-what-you-need" model, significantly improving the company's bottom-line margins while remaining fully scalable.