Devices and "The Cloud", Part 3

Posted By Robert Peterson
Senior Product Manager

In my last post I talked about some scenarios where OEMs could expand their business (data analytics, services, solutions), yet those could all be hosted in their data center. So why use the cloud?
Datacenters have to be built to support the highest level of demand by users which can be either internal or external.  The ability to meet the demand of users requires lots of servers and infrastructure, which requires advance planning and investment.
This demand is usually not constant and can increase at certain times (monthly, seasonal, even time of day…meaning most infrastructure investments are idle a portion of the time).
An easy to understand example could be an online retailer – the holiday season increases the demand on their infrastructure, if the infrastructure can’t meet demand the business can’t handle the transactions, losing revenue and customers.  
A tax preparation company is another example – as tax deadlines approach, the demand on the infrastructure peaks. If the infrastructure can’t handle the demand, customers can’t be serviced, losing business.
Both examples require heavy infrastructure investment in the traditional datacenter model, however both can benefit from moving the cloud, looking at the example below:
Cloud computing allows infrastructure to dynamically scale up or down to meet the demands of your customers.  Cloud computing is designed to run across multiple servers, so your applications and data are not tied to a single set of servers like the traditional datacenter.  Additionally, by outsourcing the infrastructure, you only pay for what you need and when you need it with cloud computing.  As your business demand increases, cloud computing can handle the increased demand, this frees up capital, people and time to focus on the key areas of your business.
So if you are interested in running data analytics, creating services or industry solutions – the cloud is a low-risk way to start with the great ability to scale up exactly when you need to.
In my next post I will talk more specifically about how OEMs can easily transition to the cloud with Windows Azure.

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