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>the security infrastructure, provide redundancy and still get to shared compute when they have an overflow need The article points out that this is mostly not
by COGlory 4y ago
>the security infrastructure, provide redundancy and still get to shared compute when they have an overflow need
The article points out that this is mostly not necessary for scientific computing.
- jrumbut 4y agoWhich I thought was the best point of the article, that a lot of IT best practice comes from the web app world. Web apps quickly become finely tuned factory machines, executing a million times a day and being duplicated thousands of times. Scientific computing projects are often more like workshops. Getting charged by the second while you're sitting at a console trying to figure out what this giant blob you were sent even is is unpleasant. The solution you create is most likely to be run exactly once. If it is a big hit, it may be run a dozen times. Trying to run scientific workloads on the cloud is like trying to put a human shoe on a horse. It might be possible but it's clearly not designed for that purpose.