Consolidating Disparate Data
There’s a cost to have data spread out across your organization. By consolidation in object store, users won’t need to copy data as frequently. Therefore, data sprawl and all of the costs associated with it will decrease.
If the need for analytics suddenly spikes, a hybrid cloud strategy can respond efficiently. Handling the spikes means that you will be able to server your customers better and protect your SLAs, as well as your brand.
If necessary, teams can instantaneously shift analytics from one cloud to another, or to on-prem resources. There will be no complexity in reconfiguring the analytics system and no need to involve the engineering teams to rewrite code.
Backup and Recovery
By duplicating on-premises and cloud infrastructure, a hybrid cloud architecture can help you deliver 24/7 availability, while also reducing mean time to recovery. You should be able to flip a switch to move your workloads, if trouble arises.
Hybrid clouds can be down-sized or completely turned off when not in use. This can help you delay much of the financial outlay as you ramp up revenue. You can move workloads between public clouds, and even take advantage of spot instances that uses spare EC2 capacity available for less than the on-demand price.
In shifting workloads from owned infrastructure to the public cloud, you effectively convert CAPEX to OPEX – and because you only pay for the resources you use, costs drop further during periods of low demand.