I am tempted to put up an app just to prove this doesn't happen. I have
never seen my Instance get slow because of someone else's. What do you want
for a test? Calculate pi? Hash a file?
The variance I have seen between instances is in the +/- 2% using the use
ever last CPU bit I can in 6 seconds method. Any variability I have had is
a result of network/internet differences
If you want to test this the logic goes
i = 0
Starttime = Now
While ( Delta (Start time , Now) < 6000ms)
{
Do something complex that takes about 100ms
i++
}
Print i
Now go use another service to do 100k curls of the app and you will be able
to see the variance in CPU
From: [email protected]
[mailto:[email protected]] On Behalf Of Anders
Sent: Sunday, May 22, 2011 12:24 PM
To: [email protected]
Subject: Re: [google-appengine] Re: Price comparison between GAE, EC2 &
Azure
That's a valid reason. Instead of having to deal with both ram and cpu to
base the price on instances. But it's still confusing to me. What if an
application has to spawn a new instance just because of traffic load and the
GAE server being overloaded by running too many other instances (with other
customers' applications) at the same time? If the server would not be so
crowded with other customers' apps running in the same server then a new
instance would not be needed. So then the customer has to pay for an
extremely expensive new instance just because Google has crammed too many
instances (from other customers) into each server!
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