In order to fully embrace DevOps, enterprises need more agile networking technologies.
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In order to fully embrace DevOps, enterprises need more agile networking technologies.
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Supporting hybrid and multi-cloud environments offers significant challenges for networks, but abstraction technologies can help.
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Interest in blockchain as an enterprise solution continues to rise, to the point where platform vendors and service providers are starting to fold the technology into their IT solutions.
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The two major trends affecting enterprise infrastructure these days are the cloud and hyperconverged systems, both of which seem to be enjoying more of a symbiotic relationship at the moment than parallel development tracks.
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Hybrid cloud architectures must serve two masters at once. They have to integrate smoothly with legacy enterprise data infrastructure while at the same time enable seamless connectivity to the equally complex, and often proprietary, systems on the public cloud.
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However intriguing artificial intelligence may seem to the enterprise, the fact is that its initial contribution to data operations will be fairly mundane. Deep learning, neural networks, and a host of other technologies present visions of talking, thinking computers, but the biggest opportunity at the moment comes in the form of robotic process automation (RPA).
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Enterprises contemplating the transition from hardware-based infrastructure to a software-defined data center (SDDC) have already come to expect a fair share of complications. But exactly what are the pain points, and how have early adopters managed their way, or not, around them?
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If the enterprise wants to get ahead with Big Data and artificial intelligence, it will have to embrace new forms of infrastructure all the way to the silicon layer.
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Containers are said to be the key to effective devops in the enterprise. But if this is the case, why are so many enterprises still launching the bulk of their applications on virtual machines more than four years after the Docker container platform made its debut?
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The enterprise is moving quickly from a single-cloud deployment strategy to one that encompasses multiple clouds. But although this provides some protection against failure and loss of data, it also widens the possibility of fragmented infrastructure and the creation of distributed data silos.
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