I do see an increase from 0.001 to 0.563 dyno hours for October 30th
compared to previous days in the month on the app that use scheduler here
as well.

/ David

On Thu, Nov 8, 2012 at 8:08 PM, Josh Cronemeyer
<[email protected]>wrote:

> My monthly billing statement is what tipped me off to the problem, but
> unfortunately my logs don't go back to Oct. 30.  I have verified that in
> the past week my scheduled tasks are running in less than a second, at 10
> minute intervals.  The fact that 3 separate codebases across 2 different
> user accounts have the same spike on the same day is what made me think
> this wasn't something I was doing wrong.
>
> I hadn't thought to set a max execution time for my scheduled processes
> though, and i'm going to do that going forward.  Great suggestion.
>
>
> On Thursday, November 8, 2012 10:53:01 AM UTC-8, Neil Middleton wrote:
>>
>> Have you ascertained that your scheduled tasks aren't taking longer than
>> normal for some reason?  Do you have maximum execution times set in your
>> code to stop them running indefinitely?
>>
>> Neil
>>
>> On Thursday, November 8, 2012, Josh Cronemeyer wrote:
>>
>>> I've got access to two separate heroku accounts (mine and my employer).
>>>  And several different apps across both accounts that use the basic
>>> scheduler add on.  I've noticed on my Oct. bill that there is a huge spike
>>> in usage for all these apps and accounts on Oct. 30.  In all of these
>>> cases, the amount of processing done by the scheduler is not a function of
>>> traffic so any spike is unexpected.
>>>
>>> Is anyone else seeing a similar thing on their bill?  I noticed that
>>> apps that just run a nightly scheduler the net effect is relatively small,
>>> but if you have scheduler tasks that run every 10 minutes the cost for that
>>> one anomalous day is pretty big.  My app that schedules every 10 minutes
>>> went from an average 0.04 dynos to almost 6 dynos on Oct. 30.
>>>
>>> I've filed a support ticket on heroku, but was interested to see if
>>> other folks were seeing the same issue.
>>>
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