Containers are said to be the linchpin of both future cloud and IoT infrastructure, but if the IT industry is not careful, it could wind up with the same disjointed, silo-based environments that currently hamper operations in the data center.
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Artificial intelligence (AI) is the next technology to enter the hype cycle, and while it will most certainly have an effect on IT operations, the details as to how it will be implemented and how to generate a maximum return on investment are still unknown.
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The public cloud is growing at a rapid clip, but then again so are private and hybrid architectures. So what does this mean for legacy data center infrastructure, and exactly how will future enterprises manage their application and data workloads across such a varied and dynamic resource environment?
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The tech industry is grappling with some fundamental issues in its drive to implement the Internet of Things (IoT); namely, where should all this new data be stored and processed? For organizations that have only just begun to sort out these issues between the data center and the cloud, the rise of the IoT edge is likely to muddle strategic infrastructure planning all over again.
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Advanced fabric technologies using remote direct memory access could offer a speed boost to enterprise networks.
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It’s a fait accompli at this point that the enterprise will become significantly more automated over the next decade, both in terms of IT operations and infrastructure management.
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The two key benefits of a multi-cloud strategy are that it avoids building dependency on a single provider and it allows organizations to find the optimal resource configurations for key applications and services. The problem, however, is that it is not always easy to make data stored on one cloud available to applications hosted in another.
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Before the enterprise starts to rely on IoT infrastructure for core business operations, it needs to consider the fact that without broad access to data from a plethora of sources, it is unlikely to produce the kind of results that support a truly effective digital business model.
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The enterprise is quickly growing accustomed to deploying new resources in software rather than hardware, but with the anticipated scale of the IoT making its presence known, we may very well have to return to some old-school infrastructure development.
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Switching from traditional hardware-based networking to software-defined models presents a variety of challenges.
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Enterprise Illumination 