As a consultant, I have witnessed numerous organizations struggling with implementing agile. Agile fail patterns is a topic I have written about often (here, here, and here). Every now and then, I stumble across a company that is having great success with agile. One of the best success stories I have ever seen is from …
Is cloud adoption living up to the hype? A great deal has been written about the extent to which different vendors have been hyping their services and solutions. However, has the true adoption rate from businesses and corporations really lived up to this hype?
The software-defined data center (SDDC) requires a new breed of security tools that not only handle the velocity of data being generated within a secure hybrid cloud but also handle the volume and variety of data. In fact, this new breed of security tools uses big data backends to manage the data being received, though …
Amazon announced the release of WorkSpaces, a new Desktop-as-a-Service offering. This move helps validate DaaS as part of the whole cloud services stack.
This week, Amazon Web Services (AWS) held its second annual re:Invent conference. For the past two days, Amazon has been announcing a wide variety of feature enhancements to existing services as well as publicizing new services. Even before these announcements, AWS was so far ahead of their competition in features, customers, and rate of innovation that comparing competitors’ offerings to AWS was almost comical.
Many network virtualization products appear to be aimed at the top 10,000 customers worldwide, accounting for their price as well as their published product direction. While this is a limited and myopic view, many claim it is for the best, their reason being that network virtualization is only really needed by the very large networks. The more I think about this approach, the more I believe it is incorrect. Let us be frank here. Most networking today, within many different organizational sizes, is a hodgepodge of technologies designed to solve the same problem(s) over and over: how to get data quickly from point A to point B with minimum disruption to service.
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