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Icinga2-AWS

Adds dynamically based on the passed filters and templates hosts with checks into icinga 2

Installation

Run install.sh script chmod u+x install.sh ./install.sh

Configfile

  • path to the Icinga2 config folder
  • command to reload Icinga2 configs

Usage

usage: icinga2-aws.py [-h] -t TAGS [TAGS ...] -th TEMPLATEHOST -tc
                      TEMPLATECHECK [-nc]
                      {clean} ...

AWS for Icinga 2

optional arguments:
  -h, --help            show this help message and exit
  -t TAGS [TAGS ...], --tags TAGS [TAGS ...]
                        Tag Filter: Key value pair
  -th TEMPLATEHOST, --template-host TEMPLATEHOST
                        Which Template should be used for the host
  -tc TEMPLATECHECK, --template-check TEMPLATECHECK
                        Which Template should be used for the checks
  -nc, --no-clean       Don't clean host folders

subcommands:
  valid subcommands

  {clean}               additional help
    clean               clean help

Tag Parameter

The Tags are in following format:
{Tagname}:{Tagvalue}
Multiple tags are delimited with a space

Interval update

To update your config with a specific interval, use the cronjobs of your os
Just use the same command

Templates

For templates are following parameters available:
{HOST} = instance id
{IP} or {PublicIP} = instance public ip {PrivateIP} = instance private ip

If you need more just create a feature request

noClean clean

sample usage of the --no-clean and clean feature

  1. Create config for application:application1 with --no-clean
  2. Create another config for application:application2 with --no-clean
    if on step 2 a clean function would be called, all instances from step 1 would be deleted
  3. call the clean command with another tag like icinga:true

Contributing

  1. Fork it!
  2. Create your feature branch: git checkout -b my-new-feature
  3. Commit your changes: git commit -am 'Add some feature'
  4. Push to the branch: git push origin my-new-feature
  5. Submit a pull request :D

License

MIT

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  • Python 97.2%
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