kubespin

kubespin is a very simple tool for easily generating Spinnaker Pipeline Definitions from a manifest file. This is particularly useful if your app is made up by many modules that follows a very similar flow from Development to Production environments.

Requirements

• Python 3.8+
• jsonnet (Tested with https://github.com/google/jsonnet)

Development

After you clone the repository, run the following command in kubespin root path:

python setup.py develop

You are ready to go!

Running examples

The examples/ path contains some examples on how to take advantage of kubespin and jsonnet. To try it, run:

cd examples/
kubespin myapps.json -t ./templates/

The Manifest file

The manifest file is a json file that holds a declaration for your app modules and pipelines.

Modules

A module is a concept directly mapped to Spinnaker's application concept. It holds a piece of your application (a microservice, for instance):

...
"modules": [
        {
            "name": "demo-module",
            "contact": "[email protected]",
            "description": "A module for demo",
            "properties": {
                "serviceName": "demo-svc",
                "docker": "demo-image",
                "helm": "demo-chart"
            }
        }
    ],
...

A module is basically described by its name, a contact for a person responsible for it and a brief description of what it does. You can also rely on properties to store key-value pairs that will be available in your jsonnet template.

Pipelines

Pipelines describe actual pipelines that will be applied to all your modules:

...

"pipelines": [
        {
            "type": "deploy",
            "namespace": "qa",
            "properties": {
                "account": "spinnaker-qa-account"
            }
        }
    ]

...

It is basically described by a type and namespace attributes. The type holds, in simple terms, the name of the template used to render the pipeline. The namespace attribute refers to kubernetes namespace that the pipeline refers to (a deployment to a dev namespace, for instance). The namespace itself can be used to define other types of namespaces, such as AWS Resource Groups.

The templates

kubespin looks for templates in the following structure:

./
├── applications/
│   ├── default
│   │   ├── app.jsonnet
└── pipelines/
    ├── default
    │   ├── <type>.jsonnet
    ├── custom_templates
    │   ├── <type>.jsonnet

The applications folder holds templates for Spinnaker app itself, while the pipelines folder holds for Spinnaker pipelines.

The default template group can be changed at the module level by adding a template attribute:

...
"modules": [
        {
            "name": "demo-module",
            "contact": "[email protected]",
            "description": "A module for demo",
            "template": "custom_templates",
            "properties": {
                "serviceName": "demo-svc",
                "docker": "demo-image",
                "helm": "demo-chart"
            }
        }
    ],
...

This way, instead of looking for templates in default folder, kubespin will look for templates in the custom_templates folder for the module.

Context

When rendering the template, the jsonnet will receive a module parameter for applications and pipelines and a pipeline parameter for pipelines only. This contains the same json defined in the manifest for the module x pipeline being rendered:

local module = std.extVar('module');
local pipeline = std.extVar('pipeline');

...

local moniker = sponnet.moniker(module.name);
local namespace = pipeline.namespace;

# Docker image 
local dockerArtifact = sponnet.artifacts
    .dockerImage()
    .withName('docker.io/' + module.properties.docker)
    .withReference('docker.io/' + module.properties.docker)
    .withArtifactAccount('docker-registry');
...