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Nutanix@Thermo Fisher Scientific

Thermo Fisher Scientific Standardizes Workload Migration on Nutanix

Thermo Fisher Scientific, a health care organization in the United States, uses AHV from Nutanix to support datacenter exit planning for migration squads.

Nutanix is how Thermo Fisher Scientific keeps workload migration visible to people who have to act on it.

“Health Care work at Thermo Fisher Scientific spans more than one site, even when headquarters sits in the United States.”
“Migration squads asked for a shared way to run datacenter exit planning without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityFewer stalled items because workload migration has a clear owner
Risk and complianceAHV is the governed place migration squads use for datacenter exit planning
CapabilityNew joiners can see how datacenter exit planning actually runs

Story

Health Care work at Thermo Fisher Scientific spans more than one site, even when headquarters sits in the United States. Workload migration was splitting across regional habits. Migration squads asked for a shared way to run datacenter exit planning without freezing local judgment.

Nutanix (AHV) is what they standardized on. Nutanix offers hyperconverged infrastructure and hybrid multi-cloud software so IT teams can run VMs and Kubernetes consistently. Thermo Fisher Scientific uses it as the system of record for workload migration, with migration squads as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Value Graph

Thermo Fisher Scientific uses Nutanix, Grafana Labs, Epic Systems, Freshworks, Oracle, Veeva, Cloudflare, Snowflake. Shared with Akamai Technologies, American Electric Power, ANA Holdings, Ascension, AssemblyAI. Industry: Health Care. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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