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Project description
Deploys Kubernetes on various providers. Deployments are for evaluation/experimental purpose (not production).
Behind the scenes this project uses:
Kubespray (https://github.com/kubernetes-sigs/kubespray): It uses decent default values but this should be reasonnably customizable (through roles and vars in the configuration file)
EnOSlib (https://gitlab.inria.fr/discovery/enoslib) for the framework part.
Command line overview
Usage: ek [OPTIONS] COMMAND [ARGS]...
Options:
--help Show this message and exit.
Commands:
backup Backup the deployed environment
build Preconfigure a machine with all the...
deploy Claim resources from a PROVIDER and configure...
destroy Destroy the deployed environment
g5k Claim resources on Grid'5000 (frontend).
hints Give some hints on the deployment
inventory Generate the Ansible inventory [after g5k or...
post_install Post install the deployement
prepare Configure available resources [after deploy,...
reset Resets Kubernetes (see kspray doc)
vagrant Claim resources on vagrant (localhost).
Usage overview
Install the project:
virtualenv -p python3 venv source venv/bin/activate pip install enos-kubernetes
Configure the Grid5000 REST API access:
echo ' username: MYLOGIN password: MYPASSWORD ' > ~/.python-grid5000.yaml
Get a sample configuration file at:
wget https://gitlab.inria.fr/msimonin/enos-kubernetes/raw/master/conf.yaml
Deploy on g5k:
ek deploy g5k
Deploy on g5k using virtual machines:
ek deploy vmong5k
Build a base image on g5k:
ek build g5k
Build a base image on vmong5k with an alternative cluster:
ek build vmong5k --cluster=chetemi
This also can be used from python directly using the provided API:
# pseudo-code to deploy to g5k from enos_kubernetes import tasks ... tasks.g5k(...) tasks.inventory(...) tasks.prepare(...) ...
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