The price of cloud computing will rise-follow the demand and change?

"No matter how good we are at Big data analysis, we can never accurately predict the future of technology," Jeremy Geelan, chairman of the Cloud Fair, coraidhttp://www.aliyun.com/zixun/aggregation/ 7740.html "Vice President of > Product Marketing, John Gilmartin, said. "The industry has changed very quickly, bringing unprecedented value to end-users," Gilmartin continued. "The only bet is that this technology will become faster in the future in a more magical way." ”

Cloud Computing Magazine: Do you agree that only having enterprise data is good, and extracting meaningful information from that information is worthless?

John Gilmartin: Quite agreeable. The data in the enterprise is growing at an unprecedented rate, with some estimates exceeding 50% of the data for the same period last year. This growth in data represents both challenges and opportunities. IT administrators, who face the task of storing petabytes of data for their organization, are often frustrating, and they are turning to cloud architectures for flexibility, manageability, and responsiveness. Once they have a way to capture data, they will need methods for deep business observation mining data information. Business acumen is a top priority for CIOs, analysts say.

Cloud Computing Magazine: "Not everything will migrate to the cloud because there are a lot of business processes, datasets, and workflows that require specific hardware or proprietary solutions that don't benefit from the cloud economy," says James Staten of Forrester. As a result, we are likely to use the mainframe for another 20 years. "Do you agree with this statement?"

Gilmartin: There will always be a market for highly specialized solutions based on proprietary hardware. The problem is what the total it budget and the share of the infrastructure will be. Modern enterprise architecture is built on commodity hardware, with software based intelligence and automation, and they now give workflows and data bundles powerful energy, unlike the specific hardware that used to be dedicated. Large data analysis platforms and high-performance clustered file systems such as GPFS are important examples of this. We believe that the software definition data center based on software management and automation building modules on commodity software will fundamentally change enterprise it.

Cloud computing: The price of cloud computing will rise--to follow demand. Do you agree?

Gilmartin: Over the past few years, companies have experimented with a wide variety of private, public, mixed clouds and other options. We are now beginning to see a broader adoption of the cloud architecture in the "real" world. As CIOs get used to migrating low-risk data to the cloud, companies are choosing to use SaaS products, a trend that will continue to drive up demand for cloud computing.

In the area of the value spectrum, relentless commercialization of the trend and price-oriented competition will continue for some time, which will make the price lower. We will see the performance, service quality, security and other products are different. These differentiated products are capable of selling at a premium.

Cloud computing: Rackspace reports 80% of cloud computing growth, Amazon continues to innovate and make strides, and Microsoft, Dell and other giants are positioning themselves as big leaders. Do you think it will be possible to see the collapse in the next 18 months, the failure of cloud suppliers or the annexation of other giants? or any other possibility?

Gilmartin: The low-end area of the cloud computing market is now very crowded. A market in which prices are the only competitive base supports incumbent key players, such as Amazon and Rackspace. We may see cooperation in these markets over the next 18 months. Ability to build differentiated products with a reasonable cost model cloud service providers can control one and compete effectively with larger players.

Cloud Computing Magazine: Please say one thing--except that we might have heard of it--are you sure it won't happen in the future, about clouds or big data?

Gilmartin: No matter how good we are at large data analysis, we can never accurately predict the future of technology. The industry has become fast, bringing unprecedented value to end-users. The only sure bet is that in the future the technology will be faster and in an incredible form.

(Responsible editor: The good of the Legacy)