Data Centre Essentials – Vincent Fogarty

Furthermore, allowing external parties onto its own IT infrastructure posed a risk for Google, a company whose secrecy on how their core products, search and advertising, actually work under the hood is unmatched. So Google went out and either built dedicated Google Cloud facilities or rented colocation space with other providers. At a remarkable speed, it stood up its very own cloud infrastructure to sell digital resources to startups and businesses alike. However, its niche was less clear. For Microsoft the niche was in the enterprise IT space, it had the trust of companies, and its products were widely used and valued.

Amazon had placed its teeth into the digital-­native market using discounts and aggressive sales and already owned a significant portion of the market when Google arrived. So Google was left with two options: (i) to ally itself with the open-­ source community that AWS alienated with its cloud services that didn’t give any- thing back to the community and (ii) to make some of their incredible algorithms available (e.g.

for image and voice recognition) on Google Cloud as cloud services to attract a new wave of digital startups focused on machine learning and artificial intelligence. They did both. And with making Kubernetes available as free and open-­source software, they threw a wrench into Microsoft’s and Amazon’s business model, while creating a massive community of support.

Kubernetes and the Next Layer of Abstraction With Kubernetes, the IT infrastructure community essentially turned the idea of digital resource primitives into a way of designing and running infrastructure. It enables applications or components of an application to be moved, started, stopped, scaled, and replicated across a heterogeneous IT infrastructure, as long as that infrastructure can produce primitives (compute, memory, storage, and net- work bandwidth). It created the next layer of abstraction, beyond virtualisation, taking each unit of digital resource and making it allocatable, usable, and pro- grammable by an application.

In practice this means that a Kubernetes-­based infrastructure can span across multiple cloud infrastructure providers.

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