Case Study · FinTech
Scaling a FinTech Platform to Process $2B+ Annually
Cloud-native modernization, AI-driven fraud detection, and zero-downtime delivery.
Dedicated Engineering Pod14 monthsCloud & DevOps · AI Integration
Client
Leading U.S.-based payment processor
Industry
Financial Technology (FinTech)
Services
Cloud & DevOps, AI Integration, Infra Automation, Security Compliance
Overview
The client’s legacy platform struggled with rising volumes, deployment downtime, and fragmented observability. We modernized to a cloud-native microservices architecture, embedded AI-driven fraud detection, and automated delivery for near-perfect uptime and rapid releases.
Challenge
Reliability, speed, and cost—under pressure
- Uptime below 97% causing SLA violations and delays.
- Manual deployments taking hours with frequent downtime.
- High ops cost from manual infra + fragmented monitoring.
- No unified, real-time fraud detection across channels.
Architecture Modernization
- Microservices on Kubernetes (GKE)
- PostgreSQL for transactions, Redis for caching
- Apache Kafka for streaming & async processing
DevOps & IaC
- CI/CD with GitHub Actions → ArgoCD (GitOps)
- Terraform + Helm for reproducible infra
- Blue-green & canary for zero-downtime releases
Observability
- Prometheus + Grafana for SLOs & alerts
- Centralized logs via ELK
- Anomaly alerts & trend detection
AI-Driven Fraud Detection
- Python + TensorFlow scoring on streaming data
- 93%+ accuracy with continuous retraining
- PCI-DSS aligned; encryption in transit & at rest
Technical Architecture Snapshot
- Orchestration
- Kubernetes (GKE)
- Database
- PostgreSQL + Redis
- Messaging
- Apache Kafka
- Monitoring
- Prometheus + Grafana
- CI/CD
- GitHub Actions + ArgoCD (GitOps)
- IaC
- Terraform, Helm
- Security
- Vault, TLS, OWASP controls
- AI/ML
- TensorFlow + Python APIs
Deployment Pipeline
# Automated pipeline (zero downtime) git push → build → test → deploy ✓ 15-minute average deployment ✓ Blue-green + canary rollouts ✓ Progressive delivery with ArgoCD
99.99%
System Uptime
15 min
Avg Deployment Time
93%+
Fraud Detection Accuracy
↓ 40%
Operational Cost
| KPI | Before | After | Improvement |
|---|---|---|---|
| System Uptime | 97% | 99.99% | +2.99% |
| Avg Deployment Time | 2 hrs | 15 min | 8× faster |
| Fraud Detection Accuracy | 65% | 93% | +28% |
| Transactions Processed | $850M | $2.1B | +147% |
“The modernization transformed our transaction platform into a truly scalable, intelligent FinTech system. Our uptime is nearly perfect, and fraud detection has saved us millions in potential losses.”
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