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Stores log file data from multiple remote hosts to MongoDB
Creates processes that ssh to a remote host and run "tail --follow=name" on the log file
Parses the log file using Regular Expressions
Stores the data in MongoDB
Queries MongoDB for interesting statistics e.g.:
Requests/mintute
Cache hit rate
Count of HTTP 500 statuses
Average upstream response time
MySQL questions/second
Creates real-time plots in a web browser
MongoDB
PyMongo
Orbited
Twisted
stompservice
flot
a few more in pip-requirements.txt
Copy settings_template.py to settings.py and edit it
Start mongod
Start orbited
In first terminal, run "sourceexecutive.py"
In second terminal, run "analyzerexecutive.py"
Leaves "mysqladmin extended" processes running on remote host
The bulk of this is set up for my custom Nginx log file (but it is easy to
write your own custom sources, parsers, and analyzers.
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Real-time (Nginx, PHP, syslog, "mysqladmin extended") log file analysis and plotting using Python, mongoDB, Orbited, and flot
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