<html><body><div style="color:#000; background-color:#fff; font-family:arial, helvetica, sans-serif;font-size:12pt"><div><span><div>Based on the responses I have finalized the scope of my</div><div>proposed presentation, here is an outline...</div><div><br></div><div>Python logging & monitoring from the trenches</div><div>---------------------------------------------</div><div><br></div><div>1. Python/SciPy event probability monitoring Nagios plug-in; an</div><div> adaptive method for detecting abornal behavior in complex systems.</div><div> Demonstration and sharing of the source code -- the plug-in is</div><div> currently being used in production systems and is available under</div><div> the MIT license.</div><div><br></div><div>2. Python logging best practices</div><div><br></div><div>3. Log reaver, a Python experiment in artificial ignorance (MIT license)</div><div><br></div><div>4. Python
integration with the graylog2, elasticsearch and MongoDB</div><div> logging framework (open source). To quote the graylog2 website,</div><div> "Manage your logs in the dark and have lasers going and make it</div><div> look like you're from space."</div></span></div><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; "><br></div> </div></body></html>