A light weight library to monitor performance and events in production systems.
- Number of items/requests processed per second.
- Average processing time of items.
- Average waiting time on resources/locks.
- Time spent in DB layer.
- Cache hit/miss rates.
Count the number of times per second a function is executed:
from pycounters.shortcuts import frequency @frequency() def f(): """ some interesting work like serving a request """ pass
Measurements are done by averaging out a sliding window of 5 minutes. Window size is configurable.
Count the average wall clock time a function runs:
from pycounters.shortcuts import time @time() def f(): """ some interesting work like serving a request """ pass
PyCounter’s shortcut decorator will use the function name in it’s output. This can be configured (see Shortcut functions).
Counting some event somewhere in your code:
from pycounters.shortcuts import occurrence def some_code(): ... if TEST_FOR_SOMETHING: occurrence("event_name") ...
Well, almost (see Moving Parts for a complete answer.) To let the counters report their statistics you need to initialize an instance of the LogReporter:
import pycounters import logging reporter=pycounters.reporters.LogReporter(logging.getLogger("counters")) pycounters.register_reporter(reporter) pycounters.start_auto_reporting(seconds=300)
Once adding this code, all the counters will periodically report their stats to a log named “counters”. Here is an example:
2011-06-03 18:12:44,881 | 9130|1286490432 | counters | INFO | posting 0.589342236519 2011-06-03 18:12:44,888 | 9130|1286490432 | counters | INFO | search 1.47849245866
The above logs indicate that the search function took 1.48 seconds on average to execute. The posting function took only 0.59 seconds.
Easy install PyCounters to get it up and running:
Take a look at the Tutorial for more details.
PyCounters is in it’s early stages. If you have any ideas for improvements, features which are aboslutely a must or things you feel are outright stupid - I’d love to hear. Make ticket on https://bitbucket.org/bleskes/pycounters/issues .
Of course, you are more then welcome to browse and/or fork the code: https://bitbucket.org/bleskes/pycounters