Story
Google Cloud
Under ArmourUnder Armour Extends Google Kubernetes Engine Across Infrastructure Modernization
Under Armour, a consumer discretionary organization in the United States, uses Google Kubernetes Engine from Google Cloud to support datacenter exit planning for migration squads.
Migration squads at Under Armour review workload migration in Google Kubernetes Engine rather than in personal files.
“In the United States, migration squads already knew where workload migration went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because workload migration has a clear owner |
| Risk and compliance | Google Kubernetes Engine is the governed place migration squads use for datacenter exit planning |
| Capability | New joiners can see how datacenter exit planning actually runs |
Story
Under Armour did not need another dashboard that nobody opened. It needed datacenter exit planning to move. In the United States, migration squads already knew where workload migration went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Google Kubernetes Engine from Google Cloud is now in that path. Google Cloud provides infrastructure, analytics, and AI services, including BigQuery and Vertex AI, for data-heavy and machine learning workloads. The company treats it as production tooling for datacenter exit planning, which is why migration squads live in it rather than exporting from it once a quarter.
Under Armour can show how workload migration is handled today. That is the value: a repeatable way to run datacenter exit planning on software the rest of the industry already recognizes.
