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storageage<br />

and workloads across the enterprise.<br />

‘It also gives enterprises the ability<br />

to efficiently scale performance and<br />

capacity non-disruptively from small to<br />

extremely large environments, and to<br />

dramatically simplify management of<br />

the storage infrastructure.’<br />

When it comes to costs, the difference<br />

between deploying scale-out storage<br />

on-premise or the same capabilities in<br />

the cloud depends on the amount of<br />

performance, data, access patterns and<br />

locations that users require.<br />

As with any buying decision, there<br />

is an inflection point. For many<br />

enterprises, it can range from several<br />

months – if their usage is large – to<br />

three years if their usage is moderate.<br />

However, an organisation’s existing<br />

infrastructure, business and application<br />

processes, and practical security<br />

concerns make it near-impossible to<br />

put everything in the cloud.<br />

‘A brand new business will have an<br />

easier time if they architect for cloud,<br />

including compute, right out of the<br />

gate,’ says Jeff Sisili, senior director<br />

product marketing at DDN, ‘But<br />

remember – the cloud companies are<br />

in business to make money too.’<br />

Therefore, comparing the total cost of<br />

ownership (TCO) of scale-out storage<br />

deployed in-house versus that in the<br />

cloud is challenging since each uses a<br />

different cost model.<br />

In-house TCO is typically composed of<br />

capital expenses for the equipment and<br />

software, and operating expenses such<br />

as admin, property, power and cooling.<br />

‘Cloud TCO is typically 100%<br />

operational costs for the scale-out<br />

storage service and requires no<br />

additional real estate, power or cooling<br />

‘The flexible architecture<br />

at the heart of scale-out<br />

storage becomes even<br />

more vital when you<br />

consider that storage<br />

set-ups now also have to<br />

support back-end work’<br />

>> Tarkan Maner, Nexenta<br />

charges,’ says Jeff Tabor, senior director<br />

of product management and marketing<br />

at Avere Systems. ‘Next-generation<br />

scale-out storage systems, both<br />

in-house and in-cloud, are being<br />

successfully deployed today, meeting<br />

budgets and providing substantial<br />

savings over previous generations.’<br />

Band aid<br />

It should be noted that scale-out<br />

storage is not a solution for everybody.<br />

And, like all technology solutions,<br />

alternatives do exist.<br />

The aforementioned solution of<br />

all-flash arrays is one option – and a<br />

worthy alternative to legacy storage<br />

architectures in which performance<br />

and capacity are conjoined. However,<br />

scaling capacity within an all-flash<br />

infrastructure can be expensive,<br />

depending on the effectiveness of data<br />

footprint reduction methods, such as<br />

compression and deduplication.<br />

Another option is data-as-a-service<br />

(DaaS), where one copy of production<br />

data can be virtualised multiple times<br />

without adding significant storage or<br />

CPU resources.<br />

According to Jes Breslaw, director of<br />

strategy at Delphix, scale-out storage is<br />

a ‘band aid’ hiding the real problem:<br />

traditional storage approaches are not<br />

effective. ‘If you take any large-scale<br />

enterprise company, there will be a<br />

number of shared environments that<br />

copy production data in its entirety,’<br />

Breslaw says. ‘Scale-out storage is yet<br />

another way for infrastructure to avoid<br />

running out of steam, but it’s costing<br />

more money and adding no extra value<br />

back to the application teams that need<br />

the underlying data.’<br />

DaaS saves on 80% to 90% of storage<br />

costs, Breslaw claims, and makes the<br />

data more agile with application teams<br />

who are then able to self-service full<br />

copies on-demand, rewind data to any<br />

point in time, recover data instantly and<br />

make hundreds of copies of the data<br />

readily available.<br />

‘Most hosting companies charge by the<br />

megabyte for transferring and storing<br />

data, but with DaaS organisations can<br />

replicate on-premise storage with the<br />

cloud and then virtualise the copies<br />

they need. This means that only the<br />

changes are being transferred into the<br />

cloud, and the virtualised copies take up<br />

no extra space.’<br />

30 information-age.com September 15

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