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The true definition of cloud computing is still lost on some IT pros
This article is part of the Modern Infrastructure issue of April 2017, Vol. 6, No. 4
In almost any enterprise IT shop, you are likely to see at least one laptop sticker that says, "There is no cloud. It's just someone else's computer." I understand that the saying is good for a laugh, but aside from that, it could not be further from the truth. If we stick to the definition of cloud computing outlined by the U.S. government's National Institute of Standards and Technology (NIST), the cloud has five attributes: on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service. Do you notice anything on that list about location? Cloud computing, in all its various deployment models, has fundamentally changed how computing works. It is not a place, but rather a way of managing IT resources. If we dig deeper into the NIST definition of cloud computing, we can see it has three common service models: Software as a service is a software deployment model where an application is delivered over the internet. Platform as a service is a platform for the deployment of an application with ...
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Features in this issue
IT shops with specific workload requirements continue to choose specialty IaaS offerings over the more rigid services from cloud giants like AWS, Azure and Google.
The evolution of container management platforms may be generating a lot of buzz, but the software needs further improvement before it makes sense for organizations to invest in it.
With big data architectures and cloud resources finally making machine learning applications possible, Monte Zweben says it's time to map out your AI-enabled futures.
More data center teams have moved to software-defined networks. And while the technology brings new benefits around automation, it also brings a host of implementation challenges.
Columns in this issue
Big data platforms like Apache Spark process massive volumes of data faster than other options. As data volumes grow, enterprises seek ways to speed up Spark.
The misuse of the phrase 'cloud computing' has created misperceptions of the technology. Remember that the cloud isn't a location -- it's a more agile way to design IT services.