Enterprises looking to improve connectivity across the internet of things and other wide-area data ecosystems basically have two choices when it comes to fiber optics: purchasing leased line services from a telecommunications carrier or implementing its own network using dark fiber.
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As vendors increase the throughput of their fabric, the separations between compute, storage and networking are beginning to disappear.
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Enterprise infrastructure is becoming more distributed, both in the cloud and across expanding IoT environments, and this is making it difficult to get the right data to the right people at the right time.
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The enterprise finds itself tasked with catering to the whims of an increasingly demanding user population. The world today expects services of a highly esoteric nature to be delivered speedily and reliably, and there is little tolerance for failure.
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Ready or not, the Internet of Things (IoT) is bearing down on the enterprise at a rapid clip, which is forcing the industry to shift its IT capital budgets from the central data center to the edge.
But what form will this new edge take? And how is the enterprise supposed to manage such broadly distributed infrastructure when it can barely keep tabs on what is going on at home?
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It seems like even the biggest hyperscale platform developers who have long touted software-defined architectures as the key to computing nirvana are starting to learn a cardinal rule of infrastructure: No matter how much you try to abstract it, basic hardware still matters.
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Big Data is likely to be a key element in the digital transformation taking hold in the enterprise, but there are still questions as to how it will influence future business processes and what steps to take now to ensure it provides optimal support in a fast-changing economy.
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Container technology is making a swift run at the enterprise as developers try to iron out the wrinkles in creating web-facing applications using traditional data infrastructure. The one thing lacking, however, is an effective means to manage containerized services and microservices as they navigate the complex internal and external resource architectures in distributed data environments.
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Most people may roll their eyes when the subject of augmented and virtual reality (AR and VR) in the enterprise is brought up, but developers of both the hardware and software behind the technology are looking forward to a whole new world of opportunity.
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Hybrid computing models are starting to infiltrate enterprise data environments as organizations seek to leverage both public and private cloud infrastructure. But while this may seem to diminish traditional in-house data centers, it’s actually the outsourcing industry that has reason to worry.
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Enterprise Illumination 