K3s Service

K3s Service Class

Classes:

K3s(master, agent[, version])

Deploy a single K3s cluster.

class enoslib.service.k3s.k3s.K3s(master: Iterable[Host], agent: Iterable[Host], version: str = 'latest')

Deploy a single K3s cluster.

Note:

In order to deploy multiple (independent) nodes, please do so by creating multiple instances of this service.

Reference: https://docs.k3s.io/quick-start

This is a basic setup for now. Let us know if something is needed here: https://framateam.org/enoslib

For instance

• automatic deployment of the dashboard

• private registry configuration (e.g G5k registry)

• …

Examples

import logging
from pathlib import Path

import enoslib as en

en.init_logging(level=logging.INFO)
en.check()

job_name = Path(__file__).name

# claim the resources
conf = (
    en.G5kConf.from_settings(job_name=job_name, walltime="0:45:00", job_type=[])
    .add_machine(roles=["master"], cluster="paravance", nodes=1)
    .add_machine(roles=["agent"], cluster="paravance", nodes=10)
    .finalize()
)


provider = en.G5k(conf)
# Get actual resources
roles, networks = provider.init()


k3s = en.K3s(master=roles["master"], agent=roles["agent"])
k3s.deploy()

backup()

(abstract) Backup the service.

deploy()

(abstract) Deploy the service.

destroy()

(abstract) Destroy the service.