Top ten trends in the cloud data in 2012

When 2010 is about to end, the new private and hybrid cloud systems are considered by everyone as the way forward. Now, as time flies, 2011 is over, and many of the past predictions have come true. 2011 can be said to be a veritable "cloud computing" year. In the past year, thousands of cloud architectures began to be built and deployed, and are widely used in a variety of industries. More and more IT vendors have at one point kept the same idea that they all think that in the coming year, the purchasing curve of cloud computing IT equipment will obviously maintain its upward trend and develop steadily. The ten key points to be covered in this article are likely to continue to lead the trend in cloud data in 2012.

First, continue to use the existing storage system

For most businesses, it is impractical to store all enterprise data in the cloud. However, the ever-expanding demand for data storage also subtly drives the demand for storage capacity. The use of cloud storage can effectively solve the storage problems facing enterprises. Cloud storage with better security, unlimited storage capacity, no need to upgrade or replace equipment and effectively reduce costs.

Second, the private cloud will be popularized in large enterprises

Organizations want to reduce costs by using cloud models that are efficient and large-scale cloud service providers within the company, such as OpenStack's compute and storage environments. A similar private cloud provides scalable scale, flexibility, and cost-effective unmatched by traditional infrastructure solutions. At the same time these private clouds can be protected by corporate firewalls.

Third, cloud disaster recovery become a viable option

Traditionally, the need for business disaster recovery and business continuity has had to rely on externally dedicated replication infrastructure to physically recover. This means that before a disaster occurs, the business needs to always pay for the cost of the often idle hardware devices. Cloud services that provide disaster recovery do not have to pay the cost of such an infrastructure and are more productive. While it is not possible to achieve zero downtime disaster recovery, it is still possible to provide RTOs (service-level agreements) within a few hours based on service-level agreements (SLAs).

Fourth, cloud disaster recovery may become a requirement

What happens to all data in an enterprise SaaS application in the event of a disaster? In fact, most businesses have a disaster recovery strategy, but how to create additional levels of protection within the enterprise's control? The answer is to find new solutions to back up SaaS data locally or from other vendors.

Fifth, easier to use cloud applications

Some business applications can be completely moved into the cloud, in order to save the business management and maintenance of its hardware and software platform costs. Nowadays, businesses are looking for viable migration tools, especially for IT resource-constrained businesses. The choice of migrating applications to cloud providers with a robust set of tools is a good solution for IT-constrained businesses.

Six, non-relational database response to the wave of big data

NoSQL databases, such as Apache CouchDB, are extremely scalable to meet the TB or PB levels of data that millions of users bring. The dawn of big data has forced many IT organizations to consider replacing their traditional relational database with a NoSQL database and a new cloud deployment model that greatly simplifies deployment. All this led to a gradual shift in the business and the search for NoSQL support solutions providers.

Seven, SSD storage deployment in the cloud

Applications that migrate to the cloud do not always guarantee high performance from data storage. By providing high-performance SSD-based storage (NAND Flash), cloud service providers will be able to meet predictable or faster applications Respond to requirements. Today, eBay has formed a 100TB Nimbus SSD array to address the bottlenecks of NAS and SAS storage. The Nimbus S-Class arrays reduce rack space requirements by 50% and power usage by 78%.

Eight, better data compression technology

Today, the cost of storing per gigabyte of data in the cloud remains expensive, with data deduplication and data compression technologies helping businesses reduce costs to the maximum. While some may argue that capacity optimization techniques, the global challenge of capacity optimization continues to be at the expense of reducing the total capacity of multi-tenants. In addition, the large amount of media content data remains a significant challenge with today's technology. Enterprises need to discover new technologies to solve the above problems.

Nine, more use of cloud analysis

Data analytics requires an extensible computing and storage environment and building a specialized hardware analysis system can be very expensive (such as Oracle's Exalytics). The same analysis software cost a lot of money. Like most of the unused hardware used for disaster recovery mentioned earlier, many organizations' data analytics business only runs occasionally or for short periods of time, and building a proprietary data analytics environment is obviously impractical. And in the cloud environment to provide analysis services and to take "pay-per-use" model to meet the business goals of many businesses, thus saving costs for the enterprise.

Ten, companies will begin to pursue cloud computing

Although in 2012 many companies will choose to deploy cloud computing technology, and some companies are still waiting and thinking. While the process of turning to the cloud computing model for business may vary, in any case, the economics and efficiency of implementing the cloud are obvious. To this end, to improve the efficiency of IT under the premise of some backward managers may consider the use of sophisticated cloud products. Others may be victimized by the wave of cloud computing by buying traditional IT infrastructures and branching cloud computing names to meet their "cloud vanity."