On Oct 29, 11:20 pm, Tim Hoffman <[email protected]> wrote:
> Hi
>
> I am not using DJango, and they where asking for automagic recycling.


It's not django specific. Unusual latency anywhere in the system,
including Google's api calls, might trigger a DeadlineExceededError.
The various scenarios are too byzantine to expect people to get this
100% right. And the failure mode is pretty bad.


> I would prefer to see the ability to explicit shut the instance (and
> therefore let a new one respawn) if you detect the problem.


But that's not a bad idea also.

I haven't tested this, but you could try provoking the system into
killing your instance. Something like:


__too_much_memory = []

def suicide():
    global __too_much_memory
    for n in xrange(1000 * 1000 * 1000 * 1000):
        __too_much_memory.append('If we blow our memory limit, maybe
google will kill us...')


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