Metadata-Version: 1.1
Name: plumbery
Version: 0.9.2
Summary: Cloud automation at Dimension Data with Apache Libcloud
Home-page: https://github.com/DimensionDataCBUSydney/plumbery
Author: Bernard Paques
Author-email: bernard.paques@gmail.com
License: Apache License (2.0)
Description: ===============================
        Plumbery
        ===============================
        
        .. image:: https://img.shields.io/pypi/v/plumbery.svg
                :target: https://pypi.python.org/pypi/plumbery
        
        .. image:: https://img.shields.io/travis/DimensionDataCBUSydney/plumbery.svg
                :target: https://travis-ci.org/DimensionDataCBUSydney/plumbery
        
        .. image:: https://readthedocs.org/projects/plumbery/badge/?version=latest
                :target: https://readthedocs.org/projects/plumbery/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://img.shields.io/pypi/v/plumbery.svg?maxAge=2592000
           :target: https://pypi.python.org/pypi/plumbery
           
        .. image:: https://img.shields.io/pypi/l/plumbery.svg?maxAge=2592000
           :target: https://pypi.python.org/pypi/plumbery
           
        .. image:: https://img.shields.io/pypi/pyversions/plumbery.svg?maxAge=2592000
           :target: https://pypi.python.org/pypi/plumbery
           
        .. image:: https://readthedocs.org/projects/plumbery/badge/?version=latest
           :target: http://plumbery.readthedocs.io/en/latest/?badge=latest
           
        .. image:: https://coveralls.io/repos/github/DimensionDataCBUSydney/plumbery/badge.svg?branch=master
           :target: https://coveralls.io/github/DimensionDataCBUSydney/plumbery?branch=master
        
        
        Infrastructure as code at Dimension Data with Apache Libcloud
        
        * Documentation: `Plumbery at ReadTheDocs`_
        * Python package: `Plumbery at PyPi`_
        * Source code: `Plumbery at GitHub`_
        * Free software: `Apache License (2.0)`_
        
        Features
        --------
        
        * 26 tutorials covering popular use cases
        * Read fittings plan in YAML
        * Load parameters in separate YAMl file
        * Use cloud API to create the network infrastructure, and to build nodes
        * Bootstrap nodes with cloud-init configuration directives
        * Inject actual addresses and on-the-fly secrets to contextualisation
        * Create RSA keys and passwords to secure deployments
        * Preserve random secrets across multiple invocations
        * Create network domains and Ethernet networks
        * Reserve public IPv4 addresses
        * Manage network address translation rules
        * Manage firewall rules
        * Create load balancers with pools of nodes
        * All images in libraries are available to new nodes
        * Specify number of CPU, or core per CPU, and CPU speed
        * Specify node memory
        * Add virtual disks and specify tiers of storage
        * Add multiple network interfaces to nodes
        * Add public IPv4 addresses to nodes
        * Add monitoring to nodes
        * Build all blueprints
        * Build a blueprint across multiple locations
        * Start all nodes
        * Start nodes belonging to the same blueprint
        * Polish Linux nodes for quick bootstrapping
        * Build a full inventory of nodes that have been deployed
        * Reflect fittings into a ready-to-use inventory for ansible
        * Stop all nodes
        * Stop nodes belonging to the same blueprint
        * Wipe all nodes
        * Wipe nodes belonging to the same blueprint
        * Destroy part of the setup, or all blueprints
        * You can extend plumbery with your own polishers, it has been designed for that
        * Run from the command line, or as a python library
        * Accept custom polisher from the command line too
        * Limit plumbing to some locations if needed
        
        Contributors
        ------------
        
        * `Bernard Paques`_ [Dimension Data employee] (development lead)
        * `Anthony Shaw`_ [Dimension Data employee]
        * `Olivier Grosjeanne`_ [Dimension Data employee]
        * `Jacques ClÃ©ment`_ [Dimension Data employee]
        
        Credits
        -------
        
        * `Cloud-Init`_
        * `Apache Libcloud`_
        * netifaces_
        * PyYAML_
        * Cookiecutter_
        * `cookiecutter-pypackage`_
        
        .. _`Plumbery at ReadTheDocs`: https://plumbery.readthedocs.org
        .. _`Plumbery at PyPi`: https://pypi.python.org/pypi/plumbery
        .. _`Plumbery at GitHub`: https://github.com/DimensionDataCBUSydney/plumbery
        .. _`Apache License (2.0)`: http://www.apache.org/licenses/LICENSE-2.0
        .. _`Bernard Paques`: https://github.com/bernard357
        .. _`Anthony Shaw`: https://github.com/tonybaloney
        .. _`Olivier Grosjeanne`: https://github.com/job-so
        .. _`Jacques ClÃ©ment`: https://github.com/jacquesclement
        .. _`Cloud-Init`: https://cloudinit.readthedocs.org/en/latest/topics/examples.html
        .. _`Apache Libcloud`: https://libcloud.apache.org/
        .. _netifaces: https://pypi.python.org/pypi/netifaces
        .. _PyYAML: https://pypi.python.org/pypi/PyYAML
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
Keywords: plumbery
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
