KubeVirt Basics Training Description

The training content resides within the content directory.

The main part are the labs, which can be found at content/en/docs.

This site is built using the static page generator Hugo.

The page uses the docsy theme which is included as a Hugo Module. Docsy is being enhanced using docsy-plus as well as docsy-acend and docsy-puzzle for brand specific settings.

After cloning the main repo, you need to initialize the Hugo Module like this:

hugo mod get

The default configuration uses the acend setup from config/_default. Alternatively you can use the Puzzle setup from config/puzzle, which is enabled with --environment puzzle.

• Official docsy documentation
• Docsy Plus

Run the following command to update all submodules with their newest upstream version:

hugo mod get -u

Build the image:

docker build [--build-arg TRAINING_HUGO_ENV=...] -t acend/kubevirt-basics-training .

Run it locally:

docker run --rm -p 8080:8080 acend/kubevirt-basics-training

Build the image:

buildah build-using-dockerfile [--build-arg TRAINING_HUGO_ENV=...] -t acend/kubevirt-basics-training .

Run it locally:

podman run --rm --rmi --publish 8080:8080 localhost/acend/kubevirt-basics-training

Note: Beware that --rmi automatically removes the built image when the container stops, so you either have to rebuild it or remove the parameter from the command.

You can use docker-compose. If you prefer Podman check out podman-compose.

docker-compose up

Use the following command to set the hugo environment

HUGO_ENVIRONMENT="something" docker-compose up

To rebuild the image if something changed in the Dockerfile:

docker-compose up --build

The website is available at localhost:8080

Tip: Set the following environment variables for faster builds: DOCKER_BUILDKIT=1 COMPOSE_DOCKER_CLI_BUILD=1

To develop locally we don't want to rebuild the entire container image every time something changed, and it is also important to use the same hugo versions like in production. We simply mount the working directory into a running container, where hugo is started in the server mode.

export HUGO_VERSION=$(grep "FROM docker.io/klakegg/hugo" Dockerfile | sed 's/FROM docker.io\/klakegg\/hugo://g' | sed 's/ AS builder//g')
docker run --rm --publish 8080:8080 -v $(pwd):/src docker.io/klakegg/hugo:${HUGO_VERSION} server -p 8080

Use the following command to set the hugo environment

export HUGO_VERSION=$(grep "FROM docker.io/klakegg/hugo" Dockerfile | sed 's/FROM docker.io\/klakegg\/hugo://g' | sed 's/ AS builder//g')
docker run --rm --publish 8080:8080 -v $(pwd):/src docker.io/klakegg/hugo:${HUGO_VERSION} server --environment=<environment> -p 8080

Markdown files are linted with https://github.com/DavidAnson/markdownlint. Custom rules are in .markdownlint.json. There's a GitHub Action .github/workflows/markdownlint.yaml for CI. For local checks, you can either use Visual Studio Code with the corresponding extension, or the command line like this:

npm install
npm run mdlint

Npm not installed? no problem

export HUGO_VERSION=$(grep "FROM docker.io/klakegg/hugo" Dockerfile | sed 's/FROM docker.io\/klakegg\/hugo://g' | sed 's/ AS builder//g')
docker run --rm -v $(pwd):/src docker.io/klakegg/hugo:${HUGO_VERSION}-ci /bin/bash -c "npm install && npm run mdlint"

Automatically fix errors if possible:

npm run mdlint-fix

The build action is fired on Pull Requests does the following

• builds all PR Versions (Linting and Docker build)
• deploys the built container images to the container registry
• Deploys a PR environment in a k8s test namespace with helm
• Triggers a redeployment
• Comments in the PR where the PR Environments can be found

The pr-cleanup action is fired when Pull Requests are closed and does the following

• Uninstalls PR Helm Release

The push main action is fired when a commit is pushed to the main branch (eg. a PR is merged) and does the following, it's very similar to the Build Action

• builds main Versions (Linting and Docker build)
• deploys the built container images to the container registry
• Deploys the main Version on k8s using helm
• Triggers a redeployment

Manually deploy the training Release using the following command:

helm install --repo https://acend.github.io/helm-charts/  <release> acend-training-chart --values helm-chart/values.yaml -n <namespace>

For debugging purposes use the --dry-run parameter

helm install --dry-run --repo https://acend.github.io/helm-charts/  <release> acend-training-chart --values helm-chart/values.yaml -n <namespace>

If you find errors, bugs or missing information please help us improve and have a look at the Contribution Guide.