On Wed, Jan 22, 2014 at 4:16 PM, Jennifer Kay <[email protected]> wrote:

> My apologies if this is posted twice - I thought I posted it once but
> can't find it …
>
> I want to quantify how activity on my MOOC<https://cs4hsrobots.appspot.com/> 
> has
> varied over time and I'm wondering if any of you can answer the following
> question:
> Short version:
>
> Is the number of Frontend Instance Hours that my MOOC uses (as shown on my
> daily app-engine usage report) directly proportional to the amount of
> "activity" on my MOOC?
>
>    - If so, can you help me understand what this quantity represents (so
>    I believe your answer :-)
>    - If not, is there some other easy-to-aquire data that I could use as
>    a metric?
>
>

No. Frontend instance hours aren't proportional to usage except in very
limited cases. For instance, it's entirely possible to have multiple
frontend hours billed even if there are no users currently using your
application (ex: cron jobs, tasks, resident instances on standby).

You asked for an explanation, so: Frontend instance hours represent CPU/RAM
space and time being used. Any other service (datastore, logs, etc) are
billed separately. You are correct in that frontend instance hours are
spent in response to user requests, but they are also used up in response
to cron, tasks, or other automated responses.

As for a better metric, I would suggest using the logging data. You can
move your logging data into Google BigQuery (
http://googleappengine.blogspot.com/2012/07/analyzing-your-google-app-engine-logs.html),
and split up your traffic by incoming IP address, time, user-agent
information, etc and see what your users are doing and where they're coming
from.


-----------------
-Vinny P
Technology & Media Advisor
Chicago, IL

App Engine Code Samples: http://www.learntogoogleit.com

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