In order to support hybrid cloud computing environments, enterprises will need fast, flexible networks that deliver high availability.
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In order to support hybrid cloud computing environments, enterprises will need fast, flexible networks that deliver high availability.
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In order to enable digital transformation, networks will need automation and — eventually — machine learning capabilities.
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The cloud is starting to dominate IT infrastructure and the hyperscale providers are starting to dominate the cloud. So is it game-over for the data center? Or the small cloud providers? Not exactly.
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The closer the enterprise gets to a broad Internet of Things (IoT) ecosystem, the more urgently it feels the need for a functioning orchestration layer. Unfortunately, aside from a few rudimentary steps toward basic interoperability and data management, it seems that full-stack orchestration will have to wait a while.
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Having a multi-cloud strategy these days is like having a multi-server strategy in ages past: Why trust your workloads to a single point of failure when you can move them about at will?
But while distributing resources over multiple points fosters redundancy and eliminates vendor lock-in on one level, the enterprise should be aware that this invariably pushes these same risks to another.
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Containers took the development world by storm last year, giving the enterprise a quick and convenient way to compile the building blocks for new and innovative applications and services.
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Solid-state disks (SSDs) continue to show remarkable flexibility when it comes to design features and form factors, leading many enterprises to wonder whether traditional spinning media has a future in the data center after all.
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It seems that Microsoft is finally ready to go all-in with the hybrid cloud, putting not only its fortunes at stake with the concept but those of virtually the entire legacy enterprise vendor community.
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Software-defined networking will transform network management, but that doesn’t necessarily mean that network managers will need to learn to code.
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New chip-level developments are occurring at a steady pace, so much so that in a few short years we could see a radical new foundation for the way the world creates and manipulates data.
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