Case Study: Large Pharmaceutical Company achieves de-risked cloud migration and $2M/year cost savings with Virtana Workload Placement

Pharmaceutical company trades complexity for visibility to de-risk cloud migration

Large Pharmaceutical Company was confronting the complexity of roughly 10,000 workloads across four global data centers and needed to decide which workloads to move to the public cloud while understanding application dependencies and true cloud costs. The company engaged Virtana and used Virtana Infrastructure Monitoring and Virtana Workload Placement on the Virtana Platform to get the visibility required to plan a safer migration.

Virtana performed agentless baseline discovery, identified about 10% of VMs as problematic, and used data‑science-driven dependency mapping to create manageable move groups and surface apps that should remain on premises. With high‑precision cloud mapping across CPU, memory, I/O and network at multiple percentiles, Virtana de‑risked the migration, improved placement decisions, and delivered an estimated $2 million per year in cloud cost savings.