Software Defined Storage will change how you budget for storage

Server room interior IT has traditionally worked out its storage requirements by looking at data growth levels and making a projection. It has generally paid for increases by replacing old arrays – in an asset management life cycle – and put new costs into specific projects, for example, paying for a storage cost in a new business process—even sneaking it in. But as the African market moves to software defined storage, businesses should have one storage pool, one storage budget, unlimited scale— and a different conversation with suppliers. Enterprise Storage Cost: It’s Complicated To anyone but storage architects, calculating the total cost of ownership for enterprise storage is a substantial challenge. There are endless major and minor differences between appliance types and architectures, the software running on them, the demands of the applications they are supporting, the associated support costs and service level agreements, even the cost of plugging into the main systems. Then there is data tiering: keeping critical data used on a daily basis close to the application using it on high-performance and high-cost equipment, while keeping the less useful, but often legally required data somewhere as cheap as possible. There is also the data businesses can’t live without on the system that cannot have downtime, which is replicated in real time. No matter how well managed or de-duped or tiered or stored, enterprise data has a life of its own. Ordinary consumers could be forgiven for being baffled by enterprise storage pricing. The natural comparison is on cost per TB, as understood by a visit to a PC retailer or a quick search on Google. However, enterprise storage costs per TB are greater by an order of magnitude. The reason is that with enterprise data there’s no such thing as a single instance of data. Imagine […]