Profiling in Web2py

Two Important Profiles for any Application:

Speed
Memory Usage

1.) Speed is easy to profile in the new versions of web2py:

python web2py.py -F profiler.log

2.) The easiest method I found to profile memory is as follows:

Install: https://github.com/fabianp/memory_profiler

```
pip install -U memory_profiler
```
```
easy_install -U memory_profiler
```

Run web2py:
```
python web2py.py
```
Determine the process running web2py:
```
ps -a
```
- Find the process running CMD: python web2py.py
Run the following in python (via script or interpreter):

from memory_profiler import memory_usage

import time

while True:
     print memory_usage(WEBPY_PROCESS_ID, interval=.2, timeout=1)
     time.sleep(.2)

It's not perfect, but it gives you an idea as you optimize your application.

Suggestions Welcomed!

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