I'm slightly confused as to if this has any use beyond "on-demand data access" use cases. I reviewed the site and I like the idea but I'm confused as to what else this could be used for. Would something like a "Heroku" style PaaS using PyPy or something that targets NaCL benefit from this is a process separation sense? Anybody care to clarify?
Imagine that everyone in the office could be running your tests, compiles and such easily and transparently.
There are lots of grids to do this now; but this seems like a new lighter-weight and faster solution that, as it'll run well on Windows too (in that Chrome proves it does), is going to be great.
Imagine if you could scale up and down the amount of computing capacity you were paying for on a second by second (or even ms by ms) basis! That would be pretty cool :)
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I'm slightly confused as to if this has any use beyond "on-demand data access" use cases. I reviewed the site and I like the idea but I'm confused as to what else this could be used for. Would something like a "Heroku" style PaaS using PyPy or something that targets NaCL benefit from this is a process separation sense? Anybody care to clarify?
Ever used distcc? (or even mosix?)
Imagine that everyone in the office could be running your tests, compiles and such easily and transparently.
There are lots of grids to do this now; but this seems like a new lighter-weight and faster solution that, as it'll run well on Windows too (in that Chrome proves it does), is going to be great.
Here's hoping :)
Imagine if you could scale up and down the amount of computing capacity you were paying for on a second by second (or even ms by ms) basis! That would be pretty cool :)