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