plancton 0.5.2

An opportunistic distributed computing project based on Docker

# Plancton: an opoortunistic computing project based on Docker containers [](https://travis-ci.org/mconcas/plancton)

Plancton is a lightweight daemon written in Python, with the aim to administer a set of docker containers, regardless of the application running on top of the service (i.e. inside containers).

To work it requires the [Docker](https://www.docker.com/) engine on the host, and few more python modules (installed via pip): 1. [docker-py](https://github.com/docker/docker-py) Python module to access the Docker API interface 2. [prettytable](https://pypi.python.org/pypi/PrettyTable) to better format Plancton logfile 3. [pyyaml](http://pyyaml.org/) to parse Plancton configuration

## Installation Plancton is installable via pip:

$ pip install plancton

## Configuration Plancton needs to be bootstrapped from a configuration, by design cloned from a git repository. As super-user run:

# plancton-bootstrap <repository-name:branch-tag>

### Dryrun A dry-run example is available by running:

# plancton-bootstrap <mconcas/plancton-conf:dryrun>

or:

# plancton-bootstrap –dryrun

It will run a sample of a Plancton setup relying only on busybox pilot containers that will sleep for some time and will auto-terminate after that.

[Credits for the name to G.]