Collection.
Monitoring is an API with a DSL feel to write monitoring daemons in Python.
Monitoring works well for the following tasks:
* to be notified when incidents happen (email, XMPP, ZeroMQ...)
* automatic actions to be taken (restart, rm, git pull...)
* to collect system statistics for further processing e.g. graphs
* tie into existing/third-party Python code
* play along nicely with existing deployment/configuration ecosystem
(fabric/cuisine)
Overview
* monitoring DSL: declarative programming to define monitoring strategy
* wide spectrum: from data collection and incident reporting to taking
automatic actions
* Small, easy to read, a single file API
* Revised BSD License
Use Cases
* ensure service availability: test and start/stop when problems
* collect system statistics/data, log locally and/or remotely
* alert on system/service health, take actions
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