Computerworld's feature about cloud missteps gives inplementers a good look into the unforseen pitfalls one can encounter in deploying clouds. Dreamworks CTO Lincoln recounts two significant downsides in deploying Google apps.
One is the customer is not in control of the user experience. When Google wants to roll out new features, everyone gets them "ready or not." The other is when there are several cloud suppliers, the customer is "hindered" setting up apps workflows across the many environments. While Wallen cites many benefits, these are two serious downsides.
While cloud technology can offer several benefits to businesses, it is not without its downsides and risks. One of the major issue is the cost involved in migrating workloads to the cloud. Of course, the cost factor is usually discussed in detail with prospective vendors before finally making a decision. But, there are several hidden costs and unexpected expenses which can appear during migration and operation in the cloud.
Service providers today offer a variety of cloud services, from Infrastructure as a Service (IaaS) and Disaster Recovery as a Service (DRaaS) to Hosted VoIP (or UCaaS). However, the area that has been getting a lot of interest in the past few years is Desktop as a Service (DaaS). And I personally believe over time this will change.
It’s no secret that big data offers big value. But enterprises know that to exploit it, they must capture a tremendous volume of data, in myriad forms, and contain it in a database capable of running complex and comprehensive analyses.
Today, costs of scaling traditional systems have grown prohibitive. So the pressure is on to find a new solution. Enter: Hadoop.
Technology has profoundly transformed the world in recent years. In the last decade alone, mobility, cloud, social media and big data have changed the landscape of IT dramatically. One group affected perhaps the most by the ever-changing landscape is the CIO.
There’s a lot of noise out there about DevOps right now—and with good reason. With its goals of removing IT bottlenecks and putting the business back in charge of innovation speed, DevOps focuses on putting new ideas and tools into action faster and more efficiently. The idea of extending “agility” from conception to delivery improves IT’s ability to respond to business needs.
Think about how its principles can yield meaningful results for your business.
The business intelligence insights your organization has in all the data it stores can lead to game-changing opportunities--if your analytics system has the power to uncover them. Traditional data analytics are often maxed out by big data, unable to return results in a timely fashion, resulting in missed business opportunities. Business and marketing leaders can’t execute on new ideas to generate more revenue because IT can’t support their requests to add new data sources to existing queries.