Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

docker-register-0.1.0.tar.gz (25.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page