Healthcare Mental Health SaaS Platform
Full-stack platform with blog CMS, e-commerce, interactive assessments, and user management. Serving 500,000+ daily requests with 99.9% uptime on AWS with horizontal auto-scaling.
June 1, 2022 - August 15, 2023
2 min read
Technologies Used
React Django PostgreSQL Redis Stripe API AWS Docker Nginx
Overview
Lead Developer for a comprehensive mental health SaaS platform that combines content management, e-commerce, and interactive mental health assessments. The platform serves healthcare professionals and patients with a seamless, highly-available experience.
The Challenge
Build a production-ready platform that:
- Handles high traffic volumes with consistent performance
- Integrates e-commerce functionality for digital products and subscriptions
- Provides interactive mental health assessment tools
- Maintains HIPAA-aware security practices
- Scales automatically based on demand
Technical Implementation
Frontend Architecture
- React: Component-based UI with optimized rendering
- Responsive Design: Mobile-first approach for accessibility
- State Management: Efficient data flow for complex user interactions
- Interactive Assessments: Custom quiz engine with scoring algorithms
Backend Infrastructure
- Django REST Framework: Robust API layer with JWT authentication
- PostgreSQL: Relational database with optimized queries
- Redis: Session caching and rate limiting (40% response time reduction)
- Celery: Background task processing for emails and reports
E-Commerce Integration
- Stripe API: Secure payment processing
- Subscription Management: Recurring billing and plan management
- Inventory Tracking: Digital product delivery system
- Order Management: Complete purchase lifecycle handling
Cloud Deployment
- AWS EC2: Auto-scaling group for compute
- AWS RDS: Managed PostgreSQL with automated backups
- CloudFront CDN: Global content delivery
- Docker: Containerized application stack
Results & Impact
- Traffic: 500,000+ daily requests handled
- Uptime: 99.9% availability over 6 months
- Performance: Sub-200ms average API response time
- Scaling: Horizontal auto-scaling during traffic spikes
- Security: Implemented comprehensive security measures for healthcare data
Want to Work on Something Similar?
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