Enterprise IT Innovation Domain analysis: Seven suggestions for using cloud computing

Business integration needs to be simplified as enterprise it continues to be freed from infrastructure management to focus on innovative areas of experience. With this in mind, the following will give users tips on how to use cloud computing.

1. First create a policy and a set of targets

Some companies also start using cloud computing directly when they think about long-term cloud strategies and how they relate to all businesses. As with any other project, the first step is to establish realistic goals and priorities, clear budgets and deadlines, and a common understanding of what can be implemented and maintained. Agency cloud Computing can generate a sizeable return on investment-productivity gains of 50% or more-but minimizing complexity and cost requires planning and strategy.

2. Learn from the mistakes of your predecessors

Early adopters used independent cloud computing methods. These services are readily available, easy to use and affordable, with little challenge to implement. Still, in companies that support core business operations by traditional IT infrastructures, "advanced" cloud computing can only play a short-term value and may have to be relocated in the future. Although the stand-alone approach creates the risk of an application silo, an inherited cloud strategy can have a long-term effect.

3. Avoid prepaid costs

One reason companies are turning to cloud computing and software as a service (SaaS) is to reduce risk. In the Pay-as-you-go mode, if the system is not suitable for itself, the shutdown can be, only the unused part of the pay. Don't risk investment returns on expensive software licenses-like the rest of the cloud, your integration solution uses a flexible ordering model.

4. Careful consideration of self-government

Internal deployment of application integration typically requires an IT expert who understands the underlying application framework and processes. SaaS applications are designed to be managed by the business user, Xu, easily and quickly by Non-domain experts who connect data to other enterprise systems. The cluster should refine the model by minimizing development, implementation, and maintenance resources, thus enabling users to focus on the core business.

5. Addressing security issues

When it comes to cloud computing, about 75% of CIOs and it executives take security as a number one consideration, according to analysts. Because integrated cloud computing needs to move sensitive data between the cloud and the internal deployment network, ensuring security is critical. When auditing an integrated solution, what criteria are needed to ensure the security of the data being transmitted. Keep in mind that as businesses move more processes into the cloud, the sensitive data that is passed in from the cloud is greatly increased.

6. Ensure performance and data availability

Today, the common cloud services offer a variety of levels of availability and performance over the internal infrastructure, and in many cases 99.9% or more times will work well. When designing a cloud strategy, determine the integration requirements for each system (real-time, quasi-real-time, batch), determine the number of concurrent requests to be processed, and specify all the specific architectural requirements. Success depends on whether the information is not lost when the cloud or internal deployment resource fails, even if the cloud requires a backup plan.

7. Maximize connection options

Cloud computing has become a loose definition of services on the Web: from SaaS and Platform-Service (PaaS) to web-based utilities and storage solutions, as well as emerging Web2.0 features such as Google Docs, LinkedIn, and Twitter. According to Saugatucktechnology's research, by the end of 2010, One-fourth of the business Process Improvement plan will include the integration of enterprise social Computing Solutions information. Connectivity requirements will continue to evolve beyond standard enterprise applications, legacy systems and databases to advanced Web services and Web2.0 APIs.