How Real Time Asset Management Can Save Data Centers Millions of Dollars

April 11, 2019

In today’s fluctuating markets, business executives are finding opportunities and challenges in almost equal measure. Over 65% of the CEOs that responded to PwC’s 2015 US CEO survey reported they are seeing more opportunities now compared with three years ago, but 60% also see more threats.1 One thing is certain: markets are changing more rapidly than ever, and the organizations that survive will be those that focus on value and efficiency. Those that convert their savings to opportunity will thrive. The lean times of the last decade have brought a renewed focus on total cost of ownership (TCO), and understandably so: an accurate assessment of the direct and indirect costs of owning a data center asset throughout its lifecycle is fundamental to decision-making. But IT budgets have increased each year since 2011 and astute business leaders now view TCO through a different lens, considering not only the cost of owning an asset but also its value to the organization.2 Their goal is not arbitrary costcutting but resource optimization to extract maximum value from every asset.

Spotlight

vArmour

vArmour, the data center and cloud security company, delivers agentless integrated security services to auto-discover application communications, optimize policy modeling, and protect critical applications and workloads across multi-clouds. Based in Mountain View, CA, the company was founded in 2011 and is backed by top investors including Highland Capital Partners, Menlo Ventures, Columbus Nova Technology Partners, Work-Bench Ventures, Allegis Capital, Redline Capital, and Telstra. The vArmour DSS Distributed Security System is deployed across the world’s largest banks, telecom service providers, government agencies, healthcare providers, and retailers. Partnering with companies including AWS, Cisco, HPE and VMware, vArmour builds security into modern infrastructures with a simple and scalable approach that drives unparalleled agility and operational efficiency.

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