The instance with problems seems to have settled down.

The period of high numbers of DeadLineExceeded ran from just around
the time statistic got reset through too around 5:40am (google time)
I define google time as the time stamp in the logs.

Which is a very long period of extreme startup times. (I working hard
on reducing my startup times as much as possible) and I believe I can
reduce
them by a fair amount in a normally running system

However to have two instances running the same code release and
essentially performing the exact same task (that I am monitoring)
and one consistently doing a full stack load in <= 10sec vs consistent
DeadlineExceeded error is a real worry because it means to
me I can get an instance caught in a performance backwater that
googles main monitoring tools (like the system status) are probably
not going to
see at all.

T

On Nov 25, 9:53 pm, Tim Hoffman <zutes...@gmail.com> wrote:
> I have also noted that the dashboard for polytechnic-wa is being
> updated
> Specifically the  Resource Summary, Current load and Errors
> sections.
>
> The other instance is right up to date.
>
> There definately seems to be something wrong with my polytechnic-wa
> instance.
> (I have reployed a couple of times to see if that would make any
> difference)
>
> T
>
> On Nov 25, 8:33 pm, Tim Hoffman <zutes...@gmail.com> wrote:
>
> > Hi
>
> > I have two app instances, one is being used for training and testing
> > and the other is in production (or it should be if it wasn't
> > DeadlineExceeding all the time).
>
> > I am monitoring both and performing a simple diagnostics get which
> > does load the entire stack but does no real work.
>
> > The training one (psc-dev1) is consistently posting response times for
> > a complete load of under 2sec and sometimes as high as 10sec
>
> > The production one polytechnic-wa during the same period is almost
> > consistantly getting DeadlineExceeded errors very early into the
> > startup (just after some inital imports and  just starting main)
>
> > Its a big concern to me that two instances running the same code can
> > show such wildly different performance.
>
> > Can anyone from google have a look at this, (is one of my instances
> > stuck on some flaky hardware for instance)
>
> > Thanks
>
> > Tim Hoffman

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