When you are running your application on several servers, it is helpful

to have a monitoring tool called a "logging aggregator". You can configure your

application to forward your system and application logs to one location that

provides tools such as to viewing searching, and monitoring logging events across your cluster.

Another advantage of log aggregatortion tools is they allow you to set up custom alerts

and alarms so you can get notified when error rates breach a certain threshold.

* [loggly](https://www.loggly.com/) Loggly is a third party cloud based application that

aggregates logs. They have instructions for every major language, including python. It includes email

alerting on custom searches.

* [papertrail](https://papertrailapp.com/) Paper trail is similar to both loggly and splunk and provides

integration with S3 for

* [splunk](http://www.splunk.com/) Splunk offers third party cloud and self hosted solutions

for event aggregation. It excells at searching and data mining any text based data.

###Open Source Projects

* [Graylog2](http://graylog2.org/) Provides a central server for log aggregation as well as a GUI for

browsing and searching through log events. There are libraries for most major languages, including python.

Saves data in elasicache.

* [Logstash](http://logstash.net/) Similar to Graylog2, logstash offers features to programatically

configure log data workflows.

* [Scribe](https://github.com/facebook/scribe) A project written by facebook to aggregate logs. It's designed

to run on multiple servers and scale with the rest of your cluster. Uses the Thrift messagaing format so it can

be used with any language.