“How do you architect a DeFi platform from absolute zero?”
This project wasn't only about migrating an existing system or optimizing a legacy stack. It was a greenfield build requiring a complete architectural vision. Our process covered the full lifecycle: strategic design, full automation, multi-layered security implementation, and comprehensive observability to ensure the platform could handle crypto assets with enterprise-grade reliability.
- Infrastructure Design from Scratch. The engagement began with our Solution Architect working directly with the client to understand their business goals and translate them into a technical blueprint. We designed the entire AWS architecture, selecting EKS for scalable container orchestration, RDS (PostgreSQL) for transactional data, and a secure network topology using NAT Gateways and private subnets to protect sensitive components.
 - Full Infrastructure & Deployment Automation. To enable rapid, consistent deployments, we implemented a complete automation stack. The infrastructure was provisioned entirely with Terraform, ensuring every environment was identical. A CI/CD pipeline using GitHub Actions automated code integration, testing, and deployment, with real-time Slack notifications keeping the team aligned on every release.
 - Implementing Multi-Layered Security for Crypto Assets. Since security was non-negotiable, we deployed AWS WAF and Shield for DDoS protection, Secrets Manager for secure key and credential storage, KMS for encryption at rest, and IAM for strict role-based access control. This multi-layered approach ensured that user assets and sensitive data were protected at every level of the stack.
 - Monitoring & Observability. To maintain operational excellence, we established full observability using CloudWatch for real-time monitoring and alerting, CloudTrail for audit logging, and Amazon EventBridge to coordinate automated responses to infrastructure events. This proactive monitoring, combined with strategic resource management, allowed the client to minimize costs post-launch while maintaining the sub-one-second response times they required.
 

