My python app engine app is somewhat popular, mainly used as via api
from my iphone app.
Recently I am seeing high over usage charges.
The most used call already use 15 CPU hours , with stats:
3.7 calls/sec 26.15K requests in 12hrs 603 (0) [cpu]
HTTP/1.1" 200 1839 - "QandA/5.4 CFNetwork/485.12.7 Darwin/10.4.0"
"may.latest.nuvusanswers.appspot.com" ms=1490 cpu_ms=467 api_cpu_ms=0
cpm_usd=0.013200 pending_ms=1058 throttle_code=1
instance=00c61b117c8b0de1286e8d90c22f4d5b3897c8
This call just reads a memcache and returns the data. Thats it. Will
really like to know are memcache reads so expensive ? Am I using a lot
more memcache that I need ?
I have removed all other versions and have just one version running.
The number of instances now is
28 total 0.510 (Average QPS) 281.1 ms (Average Latency) 59.5
MBytes
(Average Memory)
As this is the most expensive call, I am first going after that. but I
am seeing most of my calls are now using a LOT of CPU. Will be great
if anyone can point me to things I can debug to find out the high
usage across the board.
Thank you for reading this !
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