kindtool 0.0.4

Creator: rpa-with-ash

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Description:

kindtool 0.0.4

kindtool
Python program for simplyfing workflows with kind.
kind is a tool for running local Kubernetes clusters using Docker container “nodes”.
With kindtool you can add a simple Kindfile to your project. You can crate, destroy, start and maintain a k8s cluster for ci or development.
Installation
Requirements:

docker
python3
kind
kubectl
optional: helm

Kind installation
Official documentation: https://kind.sigs.k8s.io/docs/user/quick-start/
Fast lane:
get_latest_release() {
curl --silent "https://api.github.com/repos/$1/releases/latest" | # Get latest release from GitHub api
grep '"tag_name":' | # Get tag line
sed -E 's/.*"([^"]+)".*/\1/' # Pluck JSON value
}
KIND_LATEST=$(get_latest_release kubernetes-sigs/kind)
ARCH=$(dpkg --print-architecture 2>/dev/null || echo "amd64")

curl -Lo ./kind https://kind.sigs.k8s.io/dl/${KIND_LATEST}/kind-linux-${ARCH}
chmod +x ./kind
sudo mv ./kind /usr/local/bin/kind

Kindtool installation
$ pip3 install kindtool

Kubectl installation

Linux: https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/
Windows: https://kubernetes.io/docs/tasks/tools/install-kubectl-windows/

Helm installation

https://helm.sh/docs/intro/install/

Workflow
# creates a new Kindfile (edit for your needs)
$ kindtool init -d <projectdir>

# creates the cluster - this will create a .kind directory next to Kindfile
$ kindtool up

# kills the kind cluster - configuration, k8s config is removed,
# the persistent data will be kept in .kind/data
$ kindtool destroy

# kills the kind cluster and removes the data folder
# this needs to be run as root! Docker might created files that have 0/0 uids/gids
$ sudo kindtool destroy -f

# is kind running - print status information
$ kindtool status

# start the k8s dashboard
$ kindtool dashboard

# returns the directory with the config files
# can be used as export KUBECONFIG=$(kindfile get kubeconfig)
$ kindtool get kubeconfig

Examples
https://github.com/egandro/kindtool-examples

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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