Running a data center efficiently while keeping costs in check is vital for any organization. But frequent and costly infrastructure upgrades, like chassis swaps and major overhauls, can throw a wrench in your operations and drain your budget. Aging servers make management and scaling a headache, turning troubleshooting into a time sink. Plus, limited visibility into server performance means your IT team is juggling multiple tools just to keep things running smoothly.
But these issues are just the tip of the iceberg. They leave your data center bogged down, unable to support your organization's larger goals in an agile way. To keep your data center aligned with your organization's goals and stay ahead of the curve, your organization needs to focus on three key areas: AI integration, data sovereignty and security, and energy costs and sourcing.