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Cloud automation at Dimension Data with Apache Libcloud

Project description

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Infrastructure as code at Dimension Data with Apache Libcloud

Features

  • Read fittings plan in YAML

  • 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

  • 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 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

  • Destroy all nodes

  • Destroy nodes belonging to the same blueprint

  • Many demonstration scripts are provided

  • 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]

Credits

Project details


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