The enterprise cloud industry is starting to take on some semblance of order as both providers and consumers gain a clearer understanding of how it is to function within the broader data ecosystem.
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Data Center Infrastructure Management (DCIM) is making slow but steady progress in the enterprise, a testament to the twin facts that while organizations do want to reduce their energy consumption, there are limits as to how far they are willing to go to achieve results.
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Data loads are in a continuous state of flux, development teams are launching continuous integration/continuous development (CI/CD) projects, and the front office is clamoring for more power, more speed, more scalability and more, well, everything (except budgets, of course).
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The cloud was established on the idea of “build it and they will come,” which certainly turned out to be the case. The corollary to the maxim, of course, is “give them a little and they’ll want more.”
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Amid all the talk about the cloud, hyperconvergence, software-defined everything and digital transformation, it is getting difficult to make infrastructure decisions in the here and now.
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One of the biggest misnomers about Big Data and the Internet of Things is that the data volumes they are expected to generate will be the primary challenge for enterprise IT.
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In an age when virtualization, the cloud and mobile computing increasingly define the enterprise data environment, it’s important to take a step back every once in a while and focus on the fundamentals of IT operations.
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Enterprise workloads are becoming increasingly erratic, in terms of volume and data dependency, which is making it difficult to plan even medium-term infrastructure needs with any degree of accuracy.
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The enterprise is moving workloads to the cloud at an increasing rate, but this is not necessarily producing a money tree for providers. As experience with cloud architectures grows, organizations are becoming more particular about where, when and how cloud services are to be consumed, and this is leading to some fine-tuning in the market.
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The hybrid cloud is considered to be the “safe zone” between the rigidity and poor scalability of private resources and the lack of control in the public domain.
But while it was always expected that hybrids would one day morph into a seamlessly integrated, broadly distributed data ecosystem, that vision is starting to look less feasible, and less desirable, as experience with real cloud architectures grows.
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Enterprise Illumination 