Case Study: Large Healthcare Solution Service Provider achieves sub-10-second analytics and rapid cloud-native scalability with Altoros

Optimizing a Cloud-Native Analytical Platform for Healthcare

A California-based provider of innovative solutions for healthcare turned to Altoros to resolve severe performance and scalability issues in its cloud-based analytical platform that aggregates patient data from health scanners. The platform—built with R, Apache Spark, Apache Cassandra and running on Cloud Foundry/OpenStack/AWS—could not process incoming data within the required 5–10 seconds and developers were unsure about its ability to scale for hundreds of thousands of sensors under a tight deadline.

Altoros implemented a testing framework, optimized the Spark-based analytical engine and DB model, refactored the monolith into Cloud Foundry-hosted microservices, and provided HIPAA-compliance recommendations. As a result, Altoros cut analysis time from roughly 12 hours at peak load to seconds (thousands of packets processed in 5–10 seconds), sped release cycles from hours to minutes, and enabled the platform to handle data from 200,000 sensors with projected growth to 1.5–2.0 million users within 1.5 years.