Joshua Boniface
3893666507
1. Remove a number of time.sleep commands which don't really seem necessary any longer and which significantly increased the startup time while parsing the VM list. 2. Handle some variable sets during initialization of the object, rather than waiting for a management command, enabling... 3. Know when a state change, and the corresponding Libvirt lookup, is unnecessary due to the target node not matching the current node. This also removes a number of unremovable errors from Libvirt on the console which were annoying. This reduces the total time taken by the VM startup segment (lines 760-762 of Daemon.py) from 17.117s down to 0.976s for 82 VMs. |
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client-api | ||
client-cli | ||
client-common | ||
debian | ||
docs | ||
node-daemon | ||
.file-header | ||
.gitignore | ||
.gitlab-ci.yml | ||
LICENSE | ||
README.md | ||
build-deb.sh | ||
mkdocs.yml | ||
pvc_logo.svg |
README.md
PVC - The Parallel Virtual Cluster suite
PVC is a suite of Python 3 tools to manage virtualized clusters. It provides a fully-functional private cloud based on four key principles:
- Be Free Software Forever (or Bust)
- Be Opinionated and Efficient and Pick The Best Software
- Be Scalable and Redundant but Not Hyperscale
- Be Simple To Use, Configure, and Maintain
It is designed to be an administrator-friendly but extremely powerful and rich modern private cloud system, but without the feature bloat and complexity of tools like OpenStack. With PVC, an administrator can provision, manage, and update a cluster of dozens or more hypervisors running thousands of VMs using a simple CLI tool, HTTP API, or web interface. PVC is based entirely on Debian GNU/Linux and Free-and-Open-Source tools, providing the glue to bootstrap, provision and manage the cluster, then getting out of the administrators' way.
Your cloud, the best way; just add physical servers.