pylighthouse

Helps workloads find safe harbor.

Project description

Helps workloads find safe harbor.

Scheduling-as-a-library, in pure python
Schedule workloads onto nodes
Flexible definition of requirements needed by workloads and resources offered by nodes
Tag nodes simply by adding a zero-quantity resource
“Taints and Tolerations”-like behavior supported through the use of Wards and Immunitites
Anti-affinity-group-like behavior supported through the use of Aversion Groups

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

All notable changes to this project will be documented here.

The format is based on Keep a Changelog and this project adheres to Semantic Versioning.

Node class
Workload class
Distributor base class
PrioritizedDistributor class
RoundRobinDistributor class
BinPackDistributor class
distributor classes have a method called attempt_attach_workloads, the primary use case of this library

This version

0.1.0

Dec 27, 2018

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pylighthouse, version 0.1.0
Filename, size	File type	Python version	Upload date	Hashes
Filename, size pylighthouse-0.1.0-py2.py3-none-any.whl (5.4 kB)	File type Wheel	Python version py2.py3	Upload date Dec 27, 2018	Hashes View hashes
Filename, size pylighthouse-0.1.0.tar.gz (18.9 kB)	File type Source	Python version None	Upload date Dec 27, 2018	Hashes View hashes

Hashes for pylighthouse-0.1.0-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`fe9d1580ad049b87a500a81e119e079e786ae742c1fab0c5403476d196989788`
MD5	`bac3c27d7713f2383665c135d985a18b`
BLAKE2-256	`6def6cee7b8b7ccb6c135ea112a456b906289ab8e6ba276e416b74ff56ad866c`