GitLocker: The Coding Marketplace

Description:

plumbery 17.5.22

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

50+ 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
Pass environment variables to target nodes
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
Set private IPv4 statically
Add public IPv4 addresses to nodes
Add monitoring to nodes
Add backup 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 software, it has been designed for that
Run from the command line, or as a python library, or as a container
Accept custom actions 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]
Asim Khawaja [Dimension Data employee]
Geoffrey Cristallo
Martijn Lohmeijer

Credits

Cloud-Init
Apache Libcloud
netifaces
PyYAML
Cookiecutter
cookiecutter-pypackage