I think I'm having the same issue.

How did you get that look at memcache latency specifically?

On May 22, 9:41 am, Rishi Arora <[email protected]> wrote:
> Ah, I was mistaken.  The restriction is the other way round.  Py2.7
> requires HRD.
>
> On Tue, May 22, 2012 at 11:24 AM, Joshua Smith 
> <[email protected]>wrote:
>
>
>
>
>
>
>
> > HRD does not require Py2.7
>
> > On May 22, 2012, at 12:01 PM, Rishi Arora wrote:
>
> > Also, I imagine going to HRD would indirectly help my situation because
> > I'll be forced to upgrade to python2.7.  So, while my instance is waiting
> > forever for memcache to return some data, it would be available to service
> > other requests, and keep the number of active instances low.  Am I correct
> > in this reasoning?
>
> > On Tue, May 22, 2012 at 10:59 AM, Rishi Arora 
> > <[email protected]>wrote:
>
> >> My app usually consumes ~30 instance hours every day, and occasionally
> >> spikes to ~35 when Master-Slave datastore latencies go up.  We will be
> >> transitioning to HRD soon, but today large latency spikes have caused my
> >> instance hours to reach ~50 already, in the first 9 hours of the day.  I
> >> peeked at the appstats output to see where this spike is coming from, and
> >> it appears to be memcache (see attached pic).  This seems absurd and not
> >> something app operators should be expected to pay for.  Anybody else seen
> >> this?
>
> >> Thanks in advance
> >> - Rishi
>
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