It’s all too easy to underestimate how much a cloud deployment will cost – and equally easy to overspend. Cost cutting is often the biggest driver of cloud adoption yet globally, at least 35% of cloud spend is wasted. So where are people going wrong? Where does the money go?
Understanding how cloud costs can spiral is the first step to specifying a solution that delivers for your business and realises the full value of your switch to cloud.
The IT man hours involved – cloud is an entirely different skillset to IT. This means the switch to cloud involves training plus significant input from your IT team throughout the processto ensure that the project is a success.
Forgetting to include essential building blocks – commonly drives cloud spending higher than expected. As well as virtual machines, data, and applications – remember you’ll need a firewall and other tools like load balancing, backup and document recovery.
Expensive consultancy – cloud experts are sought after and command top dollar. Combine this with unclear timeframes, unforeseen problems and missed deadlines – and the costs of consultancy can rack up.
A bad initial deployment – on an ineptly specified and configured public cloud platform can bleed money through excessive monthly charges and by making future deployments to the same platform difficult, impossible, or unattractive.
Repatriation – migrating an unsuitable application and having to repatriate it back on-premises is another costly error. Repatriating a workload is all too common: one survey found 74% of IT managers had been forced to do this.
6 ways to avoid costly cloud errors
To avoid overspending on your cloud migration, project leaders should:
Consider the nature of each workload migration – It is important to break down your existing infrastructure into individual workloads. This forms the basis of a phased approach and enables each individual workload to perform in the Public Cloud from day one. This will also provide a solid platform upon which costs can be estimated for moving to the cloud.
Calculate cloud server requirements – this should be done based on current application resource consumptionto avoid buying more than you need.
Accurately calculate storage and processing power – working outhow many VMs will be required now and, ideally, in the future.Be sure to consider less obvious charges like per-Gb data import/export fees.
Decide if cost or cloud benefit is key – consider whether you want to “lift and shift” workloads (rehosting) with little change and short-term cost savings or invest in completely re-engineering them to make them cloud-native and so fully exploit the cloud’s benefits. Maybe you’ll decide to steer a middle course?
Consider alternatives to consultancy – with the costs of consultancy being expensive, another option is to use a suitably experienced and accredited managed service provider like Synapse360 to access skills immediately without committing to an expensive salary bill.
Take full advantage of vendor discount schemes like Azure Reserved Instances.
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