The cost of overprovisioning
Having extra capacity available "just in case" may seem prudent, but it could be more expensive than you think
Disruption. Agility. Hybrid. When it comes to some of the biggest business buzzwords – especially in the tech industry – the common thread that runs through all of them is flexibility. The ability to adapt, to take some services from here and others from there to create the solution you need, to be responsive.
Yet the reality of the business landscape hasn’t been particularly true to these ideals. Certain tenets that, it’s fair to say, are rather old-fashioned still sit at the heart of IT strategy and one of the most deep rooted is overprovisioning.
Overprovisioning may sound like either no big deal or a sensible precaution at first glance; buying more capacity than you need in expectation of future growth or to accommodate spikes in demand that may appear unexpectedly seems like a prudent thing to do. The costs of this unused hardware, however, can far outweigh any benefits of having this safety buffer in place.
A problem the cloud can’t solve
Not long ago, industry pundits would have informed you that the answer to overprovisioning was for businesses to turn their backs on their on-premises data centres and take their IT to the public cloud. The flexibility and scalability of the public cloud, particularly with the big hyperscalers, was supposed to mean that there was no reason for organisations to overprovision – you could instantly scale up or down depending on what you needed at any time.
The reality, however, was somewhat less straightforward for multiple reasons. The first is that old habits die hard – rather than managing cloud capacity continually, many organisations chose instead to replicate what they had been doing on-premises. Reasons may vary, from wanting a predictable cost from month to month, to still feeling safer with that extra capacity ready and waiting.
This was further complicated by the fact that the public cloud isn’t suited to all workloads, whether for latency, legislative or cost reasons, or something else altogether. In these situations, organisations were still left needing on-premises hardware that they would, once again, often overprovision.
In fact, research from Hewlett Packard Enterprise (HPE) carried out in late 2020 found that two thirds of organisations are using less than 60% of their infrastructure, whether that’s on-premises in a private cloud, or in a public cloud. This can end up being more expensive than you might think – in total, each year overprovisioning across all types of infrastructure costs companies a whopping $15 million (£10 million) in total in misaligned resources.
But this isn’t to say cloud doesn’t have its advantages. Elastic compute in particular is one of the standout features of public cloud computing (even if overprovisioning does undermine it somewhat) and public cloud still attracts customers some 20 years after it was first developed.
The question, then, is what can be done to marry up the advantages of scalable, on-demand computing as offered by the cloud, the security offered by on-premises infrastructure, all while eliminating the problem of overprovisioning.
The data centre on demand
Thankfully, there is an answer to this question: On demand, on-premises infrastructure. This new trend, pioneered by HPE with its GreenLake portfolio, is gaining traction among businesses across all verticals and sizes, from the biggest enterprises down to SMBs.
On-demand infrastructure offers the best of both worlds between cloud and on-premises. It is scalable, meaning capacity can be turned up and down as needed, right down to the level of individual cores with HPE GreenLake Silicon on Demand.
With infrastructure on demand, you know that the capacity is there and ready to use when you need it, taking away many of the concerns that cause overprovisioning in the first place. As with public cloud, however, you only pay for the capacity you use – if you only use 60% of the storage you have available, for example, you only pay for that 60%. Should you need to scale up, whether temporarily or permanently, you can do so quickly and easily through the GreenLake Central console.
What’s more, by having the necessary hardware located in your own data centre, there’s no latency – a problem that still bedevils public cloud. This means you can use a consumption-based model for provisioning infrastructure even for edge workloads, where latency often causes the greatest problems.
For organisations that prefer not to manage their own infrastructure at all, GreenLake services are also available through HPE managed service partners, freeing up the IT department to do other valuable work around the business.
GreenLake was the first service of its kind when it was rolled out some five years ago, and continues to pioneer in new areas, such as Silicon on Demand and the incorporation of AI and machine learning into its offerings.
As far as HPE is concerned, this model of on demand infrastructure provisioning, which eliminates the problems of overprovisioning associated with both traditional on-premises and public cloud, is where all business IT is heading. Indeed, CEO Antonio Neri has described GreenLake as the future of HPE, saying: “GreenLake should be synonymous to HPE.
“This will be our leading product, leading offer, our leading experience, where everything else underneath is part of that experience, whether it's connectivity as a service. Whether it’s... data services, whether it's load optimisation, whether it’s [artificial intelligence], machine learning – all of that caters to that platform.”
With infrastructure on demand becoming ever more comprehensive, both in what is available and how it’s delivered, there has never been a better time to stop overprovisioning and start right sizing in a way that guarantees extra capacity will be available when needed, without needing to worry about latency or data sovereignty.
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