Case Study

Serverless Saas Optimization for Healthcare Recognition Platform

Background

ChargeHealth, a healthcare SaaS platform, faced performance issues as it scaled. Rambunct optimized Lambda concurrency, DynamoDB, and workflows using AWS best practices—enabling faster, more reliable services and reducing infrastructure costs.

The Challenge

Despite leveraging AWS Lambda and DynamoDB, ChargeHealth experienced:
  • Unpredictable cold starts that slowed real-time reward processing
  • Throttling of DynamoDB during simultaneous healthcare facility access
  • Inconsistent response times during peak usage
  • Difficulty monitoring and optimizing their serverless environment
  • They needed a partner to diagnose bottlenecks, improve scalability, and stabilize performance.

Our Solution

Rambunct applied a tailored optimization strategy which dramatically improved responsiveness and resilience across the platform.
  • Lambda Tuning: Applied reserved and provisioned concurrency strategies to reduce cold starts.
  • DynamoDB Auto-Scaling: Enabled custom CloudWatch metrics to allow dynamic throughput adjustments.
  • Event-Driven Architecture: Implemented Amazon SQS, SNS, and EventBridge for decoupled processing.
  • Observability: Deployed AWS X-Ray and CloudWatch dashboards to monitor performance and health.

The Result

The modernization effort delivered substantial performance, cost, and reliability improvements critical for scalable and compliant operations.
  • 75% reduction in cold starts – Faster app initialization for improved user experience.
  • 60% faster response times – Enhanced performance across key workflows.
  • 40% cost optimization – Lower infrastructure spend with efficient resource usage.
  • 99.9% uptime and enhanced audit compliance – Reliable availability with robust monitoring and controls.