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Cloud Computing: On-Premise Data Centers will Struggle to Stay Relevant
On-premise computing will be dead soon, according to a presentation by Gartner Research Vice President Milind Govekar. The only data centers with any chance of surviving are those that will deploy artificial intelligence and machine learning to become efficient.
Govekar thinks that as early as 2020 that 30 percent of data centers that don’t upgrade their processes to use AI and machine learning will no longer be economically viable. Data centers need to adopt programmability which includes application of automation, versioning, APIs and agile. The use of AI and machine learning will allow data center operations to have faster decision making, efficiency and the ability to autonomously interact with data.
But moving to the cloud may require a rethink about how best to use server resources.
Cloud computing may not be cheaper than on-premise, according to Stanford researcher Dr. Jonathan Koomey, at least if an existing on-premise data center is replicated in the cloud. Koomey estimates that more than 80 percent of on-premise systems have way more server capacity than they really need, and that translates to inefficiencies. That includes costs for electricity, cooling, licensing and maintenance. The real savings of cloud computing happens when businesses can identify their actual computing usages and then re-configure their system in the cloud to only pay for services and resources that are truly being used.
