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A in-memory register for Docker services and containers with published ports and labels.

Project description

Summary
=======
This provides a in-memory register of docker services.

Author: Steven hk Wong
Date: Oct 2018

Credits:
monitor.py is based on the work of Miki Tebeka from http://pythonwise.blogspot.com/2015/07/dockermon-docker-process-monitor.html

Description
===========
The life cycle events of create,delete and update of docker services are captured to maintain a in-memory register.
At startup all active services are loaded from docker.
A web UI is provided to see the jason representation of the objects. (see --help)
Callbacks can be registered at startup. A callback json object is passed via stdin.

Callbacks are called with "-c script|program .e.g "python -m docker-register -c jq"

The callback json object:

{ "type": "service" | "container" , "operation": "register|unregister|update" , "data": { "ports":[ { "PublishedPort": [PORT], "TargetPort":[PORT] .. ], "labels": {}, "id": "THE ID" , "name": "THE NAME]" }

E.g.:
{
"type": "service",
"operation": "register",
"labels": {
"name": "cfssl",
"env": "prod"
},
"ports": [
{
"PublishedPort": 8888,
"TargetPort": 8888
}
],
"name": "cfssl",
"id": "mq6cluihpbe89in6743r3cn1b"
}



Install
=======
To install the python module run: python setup.py install


WIP
===
Adding containers into register.

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