plumbery 0.6.0

Cloud automation at Dimension Data with Apache Libcloud

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 Clément [Dimension Data employee]

Credits

• Cloud-Init

• Apache Libcloud

• netifaces

• PyYAML

• Cookiecutter

• cookiecutter-pypackage