Healthcare SaaS Modernization

A growing healthcare SaaS company was hitting scalability walls. Their monolithic .NET 4.5 application handled patient records for 800+ clinics but couldn't keep up with traffic spikes during clinic open hours. We executed a strangler-fig migration to microservices on Kubernetes — without a single hour of customer downtime.

• Single deploy unit — small changes required full system restarts and weekend deploy windows
• Daily 9am traffic spike caused 12-second response times for clinicians during patient intake
• HIPAA Type II audit nearing — needed better logging, access controls, and audit trails
• Database becoming a bottleneck under read-heavy load patterns
• Engineering team velocity at an all-time low due to deployment risk

1. Strangler-fig migration — extracted bounded contexts into microservices over 8 months while keeping the monolith running in parallel
2. Kubernetes on EKS with horizontal pod autoscaling for predictable traffic spikes
3. Read replicas + Redis cache for hot patient data, dropping DB load 75%
4. Audit logging pipeline capturing every PHI access for HIPAA compliance
5. Blue-green deployments for zero-downtime releases, multiple times per day

• HIPAA-compliant audit trail for all patient record access<\/li>
• Real-time clinical dashboards with sub-second updates<\/li>
• Multi-tenant data isolation with dedicated encryption keys per clinic<\/li>
• Self-service report builder for clinical operations teams<\/li>
• Native mobile apps for nurses and doctors via shared API<\/li><\/ul>"]

• Response times improved 5× (12s → 2.3s during peak)
• HIPAA Type II audit passed on first attempt
• Deployment frequency 5+ per day, up from weekly
• $180K annual infrastructure savings via right-sizing
• Engineering team velocity up 40% on lead-time metric