When organizations need to protect their on-premises networks, IT departments typically turn to old, legacy hardware boxes. These hardware boxes are expensive, hard to manage, and slow. To complicate matters further, legacy approaches to connectivity (re: MPLS) and security (re: on-premises firewall and DDoS “scrubbing centers”) just don’t work for today’s distributed workforce and cloud-hosted applications
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Artificial Intelligence for IT Operations platforms enhances visibility and analytics across Infrastructure and Operations management teams by contextualizing large volumes of operational data, especially in multi-cloud management initiatives.
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IDC states that nearly 40% of companies are not confident in their ability to move data to the cloud. We recently hosted a live webinar with Microsoft to discuss the challenges of cloud migration and how data analytics can be used to optimize it. The webinar, titled “Reimagine, Reorganize, Reinforce – 5 Data-driven Approaches for a Successful Cloud Migration,” featured Microsoft’s Vamshi Kommineni, Group Product Manager
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netapp
Software as a service (SaaS) applications are online solutions that are consumed as a service and made available to users on demand. SaaS applications have massive appeal to companies that are developing software today. For both established enterprise companies and startups that are developing SaaS applications, the SaaS model offers faster ways to deploy and reach customers with less overhead than traditional commercial off-the-shelf products ever did.
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