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Cloud and data centre trends roundup 2016: Machine learning, hybrid cloud and Google's enterprise ambitions

Matthew Finnegan | Jan. 3, 2017
Cloud computing demand continues to boom as business adoption grows and vendors seek new revenue sources, here's what we saw in the market in 2016.

Aside from machine learning, serverless computing has emerged as an increasingly popular way to build applications without worrying about the underlying infrastructure or configuring VMs. AWS' Lambda has proved popular, but Google Cloud Functions and Microsoft's Azure Functions have provided alternatives.

Hyperconverged infrastructure

While there were interesting developments in the public cloud, increased automation in data centre infrastructure has offered improvements for those wanting to keep data on site.

Hyperconverged infrastructure has been around for some time - but the technology got a real stamp of approval with the September IPO of Nutanix, which essentially created the market segment back in 2011 with its first product launch.

There has been consolidation in the market over the past few years, not to mention companies going bust, and this could well continue with the traditional hardware-sellers taking hyperconverged very seriously.

Rumours have been flying around that HPE could be set to snap up Simplivity to boost its own position. However, at the same time HPE has been busy stirring up interest in its Synergy composable infrastructure platform, which it bills as the next step on from hyperconverged, essentially allowing its software-defined infrastructure to be set up and torn down quickly to support any application, whether legacy or cloud-native.


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