\nI should make clear a bit of my own background first: Unix is my natural home. When I think of alternatives to Linux, Solaris and the *BSDs come first to mind. A fully competitive Windows, though, makes for a healthier engineering milieu. Even if you’re more committed to Linux than I am, you’ll want to know what “the other side” offers. Visit US :http://www.real-user-monitoring.com
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Last week I mentioned “Network emulation for the cloud“. It’s worth a few more words now. Shrinking downloads and easing browsers’ chores are two traditional but distinct ways to improve the performance of Web applications. Separate from these in both means and ends is engineering modelling of network traffic. With increasingly sophisticated and complex networking between providers and end users, however, prudent network modelling has become essential. You can read for yourself why author Nick Hardiman expects that “[i]n a few years … IT testers will wonder how they managed without it.
I recognize every generation imagines its own shufflings to be unimagined leaps. In this case, perhaps, the conceit is justified. The science of recent decades has been deeply plagued by faulty and improperly-analyzed data. The most certain fix for this defect is well-organized, transparent, teamwork or collective action: “open-source science“. IPython, a fascinating project of research neuroscientist Fernando Pérez, already has a strong record of achievement in encouraging scientists and engineers to share not just their ideas, but details of data technique.
I should make clear a bit of my own background first: Unix is my natural home. When I think of alternatives to Linux, Solaris and the *BSDs come first to mind. A fully competitive Windows, though, makes for a healthier engineering milieu. Even if you’re more committed to Linux than I am, you’ll want to know what “the other side” offers.
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