Case Study: Nationally Recognized Cancer Treatment and Research Institution achieves rapid root-cause resolution and reduced cloud costs with Virtana Container Observability

Improving Patient Care with Container Observability

Nationally Recognized Cancer Treatment and Research Institution was building a microservices-based application to support tumor board reviews but began seeing unexpected autoscaling in its Azure Kubernetes Service non-production cluster that caused sharp cost spikes during light testing. The organization partnered with Virtana and deployed Virtana Container Observability to get the visibility needed to investigate container and node behavior across the cluster.

Using Virtana Container Observability, the team correlated telemetry and timelines to pinpoint a baseline application that had been deployed across all VMs without resource limits, which was monopolizing CPU and triggering autoscaling. With Virtana they identified the root cause in under a day (vs. an expected multi-day/manual effort), eliminated unnecessary autoscaling and related monthly cloud expenses, and improved performance, reliability, and resource governance to better support clinical workflows.