Seven key issues in cloud computing integration

Based on comments from independent analysts, we found that integrating cloud applications with data was one of the major mistakes in the marketplace today. Analysts have pointed out that if a cloud planner or architect first focuses on the problem of gathering, he has made his first mistake. He believes that in order to create a successful cluster strategy, we must forget the cloud, and then embrace the benefits of workflow analytics, which means that architects should no longer view the cloud as a deployment, and that the best integration strategy should start with a unified model of past work elements, which means that the cloud architecture should maximize the flexibility of the workflow engine. Before you start putting everything together, there's no way to talk about whether the process is compatible with the cloud and must be logically effective.

But there are also analysts who disagree that companies should focus less on integration, but more on interoperability. Because the enterprise needs to let the information island work together, and not in a programmatic way binding. As cloud computing becomes more mainstream, the concern is becoming more and more. With respect to cloud interoperability and integration, the analysis organization has also identified a number of options: APIs, the most common method is to manage data between local and cloud, software development tools (SDK), plug-in connectors; BPM, Enterprise application Integration (EAI), metadata management.

So how does an enterprise shift thinking from strategic integration into a more strategic way to connect to the cloud? The following are especially important issues that need to be considered by the enterprise.

To understand the actual business requirements. Gathered into the services involved in the summary of content, and finally put into practice.

To learn about workflows. Just exploring business requirements is not enough and you need to understand every step of the business process.

Understand the current set of skills for your organization. Of course time is money, and if people need training before embracing cloud computing, they should be prepared to do the overall cost budget.

To learn about the skills collection of cloud providers. For example, does it provide APIs? Software development tools, including APIs, debugging tools and technical guides, are they free? Be sure to confirm these details with the provider.

To understand the cost of each choice. Do you work or do you work as a provider? Do you need Third-party software or consultant assistance? In any case, you need to know the cost and who is responsible for paying the cost. This is critical to evaluating the final ROI.

To understand the time schedule. One of the traps is time. Businesses want to get into the cloud quickly, but integration points are the most common point of process setup.

To understand the data workflow. This can be fed back to the time schedule, but it is important to look at the role of data in performance variability. The architect should try to reduce the time of the looping workflow across the cloud boundary.