Most businesses don’t know where to begin when it comes to comparing the benefits of moving to a colocation datacenter vs. keeping an on-premises datacenter. When IT departments¬¬ are faced with shrinking budgets, and demands for greater availability, it’s time to review the organization’s data center strategy, including where it’s housed and who is managing
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Most businesses don’t know where to begin when it comes to comparing the benefits of an off-site datacenter vs. keeping an on-site server room. When IT departments are faced with shrinking budgets, and demands for greater availability, it’s time to review the organization’s data center strategy, including where it’s housed and who is managing it.
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As IT managers, facility managers and CIOs feel increasing pressure to achieve zero downtime, to scale the data center to meet ever changing requirements and to reduce energy costs. The search for the most reliable and efficient power and cooling infrastructure has become even more critical. During this seminar you will learn about… Legacy Data
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875 million data points. That’s how much data gets collected every day at Enseva Hiawatha. This data then gets sorted, grouped and analysed by Enseva’s customized monitoring system to ensure that customers stay online and performance is always at it’s peak. Where on earth does all this data come from? The short and simple explanation for
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Fresh out of Enseva Labs, new hosted monitoring enhancements provide increased insight into application performance as well as improvements to organizational of Item structure. The revised organizational structure aims to improve upon the time required to locate essential data sets by grouping related monitored Items. Monitored Items are grouped by system components, operating system components
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Organizations are rapidly turning to the cloud to increase business agility and drive faster innovation. At Enseva we’ve seen this first-hand with the rapid adoption of Enseva’s Private Azure Cloud. Information Technology teams need a simplified platform in which applications with vastly different performance requirements can be easily and quickly deployed without the tedious micromanagement of different
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