simple_app.py

import eliot
import profilomatic

# Configure output the same way as eliot
log_destination = eliot.FileDestination(open('app_log.log', 'w'))
prof_destination = eliot.FileDestination(open('app_prof.log', 'w'))

eliot.add_destination(log_destination)
profilomatic.add_destination(prof_destination)

# Optionally set your options
profilomatic.configure(
    max_overhead=0.02,  # Autotune granularity to target a desired profiling overhead - 2% in this case
    time_granularity=0.01,  # Sampling frequency - 10ms in this case
    code_granularity='method',  # Get file, method, or line-level performance data
    store_all_logs=False,  # Incorporate all log messages into call graph
    max_actions_per_run=10,  # When heavily loaded, limit how many new actions you profile per cycle
)

# Now run a program
import urllib2
import wsgiref.simple_server
def app(environ, start_response):
    with eliot.startAction(event='app:hello-world'):
        data = urllib2.urlopen('http://www.python.org').read()
        start_response('200 OK', [('Content-Type', 'text/html')])
        return [data.replace('Python 3', 'Python 3000')]

wsgiref.simple_server.make_server('', 8000, app).serve_forever()