HelmState 1.0.13

Helm state tool

Helm State

The Helm State tool is a simple GitOps tool with helm and kubernetes in mind. The Helm State tool stores deployed helm versions in git branches, where it will be easy to track previously deployed versions and which version is currently running.

The full helm version state is stored in a state.yaml file versioned by a git branch with this naming convention:

• my-resource_group/my-namespace/my-helm-chart

Content structure of state.yaml:

my-resource-group:
  my-namespace:
    my-helm-chart: 
      version: 1.0.0

Install Or Upgrade

• pip install --upgrade HelmState

Prerequisites

• python3x

Usage

The Helm State is available as a command line tool with helmstate.

First of all, either clone or initialize a new repository to where the state will be stored. Then, try out some of the commands below with current working directory set to the repository folder.

Commit new helm states and push last commit

helmstate commit --helm-chart my-helm-chart --version 1.0.0
helmstate commit --helm-chart my-helm-chart --version 1.0.1 --push

Get current helm state

helmstate get --helm-chart my-helm-chart

Revert current helm state 2 commits back and push last revert

helmstate commit --helm-chart my-helm-chart --version 1.0.0
helmstate commit --helm-chart my-helm-chart --version 1.0.1
helmstate commit --helm-chart my-helm-chart --version 1.0.2
helmstate revert --helm-chart my-helm-chart --commits 1
helmstate revert --helm-chart my-helm-chart --commits 1 --push

Split different environments in resource groups

helmstate commit --helm-chart my-helm-chart --version 1.0.0 --resource-group my-resource-group

Set kubectl namespace to where the helm artifact was deployed

helmstate commit --helm-chart my-helm-chart --version 1.0.0 --namespace my-namespace --resource-group my-resource-group

More details with help

helmstate --help

Development

Dependencies:

• pip install twine
• pip install wheel
• pip install -r requirements.txt

Publish New Version.

1. Configure setup.py with new version.
2. Package: python setup.py bdist_wheel
3. Check: twine check dist/*
4. Publish: twine upload dist/*

Run Unit Tests

• python -m unittest
• docker build .