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Helm 3 - Crafting a Chart

This post focuses on creating and releasing a chart, not consuming from a Helm Chart Repository.

Helm is an advanced tool used by kubernetes people, some "lingo" (jargon) is used here. Please leave a comment if you want more information.

Helm allows to "package" kubernetes applications, it simplifies the distribution and installation. While doing so, it checks dependencies versions and some other validations.

Official Helm 3 Documentation

Version used

$ helm version --short

Helm Chart

A Chart is a Helm package. It contains all of the resource definitions necessary to run an application, tool, or service inside of a Kubernetes cluster. Think of it as the Kubernetes equivalent of a Homebrew formula, an apt dpkg, or a Yum RPM file [0].

For OOP people:

  • Chart ~= class
  • Release ~= instance

This is important to remember, we are going to be building a package.

Development of a Chart

Creating a new Chart

My recommendation is to create a charts/ folder in the root of your project(s).

This way each of your projects could become a "chart repository", similar to how hub.helm.sh consumes respositories from different sources in a descentralized way.

You could do the same for your projects. Each git project becomes a descentralized chart repository, or you can publish to a centralized chart repository like artifactory or your own github repo.

In any case, calling it charts/ is informative and flexible enough to choose any option.

Inside charts/, we are going to use helm to create the first boilerplate of our app.

helm create <package_name>

Along the post we'll use auth-service as our project example name.

mkdir auth-service
cd auth-service/
mkdir charts
cd charts/
helm create auth-service
└── charts/
    └── auth-service/
        β”œβ”€β”€ charts/
        β”œβ”€β”€ Chart.yaml
        β”œβ”€β”€ templates/
        β”‚Β Β  β”œβ”€β”€ deployment.yaml
        β”‚Β Β  β”œβ”€β”€ _helpers.tpl
        β”‚Β Β  β”œβ”€β”€ hpa.yaml
        β”‚Β Β  β”œβ”€β”€ ingress.yaml
        β”‚Β Β  β”œβ”€β”€ NOTES.txt
        β”‚Β Β  β”œβ”€β”€ serviceaccount.yaml
        β”‚Β Β  β”œβ”€β”€ service.yaml
        β”‚Β Β  └── tests/
        β”‚Β Β      └── test-connection.yaml
        └── values.yaml
  • appVersion inside Chart.yaml references the application version [1]
  • image.tag inside values.yaml references the docker image version/tag.
  • if image.tag is skipped, appVersion is used instead.
  • recommendation: use a tool to automatically bump the version, like commitizen, during the CI execution, and push back to the repo.
  • Whether to use image.tag or appVersion is still under debate, you can read more in the github issue
  • If you use appVersion you can use helm history <release_name> to get info on the versions per revision.
  • You can re-use the same chart to deploy multiple django/rails applications, seems like a common practice

Chart customization

I recommend to start with the default helm chart and from there, start adding any extra stuff that you need.


If you have used other template systems like jinja, or Django's template engine, Helm's system is not that different: you can apply functions using a pipeline |.

food: {{ .Values.favorite.food | upper | quote }}

Avoid adding complex template tags; the purpose of yaml is to be readable. By using templates, we make things more complex, and less readable, touch only when necessary.

templates/_helpers.tpl contains custom functions for your templates, like generating the release name based on values.

To find problems with you charts, run:

helm lint <package_name>


Place the "configuration" that you want to expose to the users of the chart in the values.yaml, even if it's you who's gonna end up using it. There's no need to parametrize everything, and try to use sensible defaults.

A good rule is to expose only the things you are going to use and make new parameters only when you have to.

Let developers specify unconventional aspects of the application.

You can also define a values.schema.json which will be used by helm to validate the parameters given to Helm [2].

Using custom values

values.yaml is used as default and any extra values provided through --set or --values will be merged into the default values.yaml inside the chart.

There are 2 approaches to deal with custom values that I know.

Centralized values

The first one is to have a centralized place with all the configuration. At the moment, I know helmfile is being used for this. You'd specify every configuration per environment per chart in a helmfile.yaml.

Per repository

This is the most popular approach. Each "project" is responsible to set the values per enviroment (production, staging).

If you are going to modify small aspects of your app, using --set should be enough.

A common practice, is to place the production and staging files inside the chart folder, but in my opinion this should be avoided when possible.

A Helm chart is a package: Helm is a package manager. Like apt, pip or npm. When we use tools like Docker, for example, we provide env variables from outside, they are not packaged inside the image. This gives the container a lot of flexibility and the same principle applies to Helm. There's an interesting discussion in the helm repo about this.

Ideally, your custom values should live outside the chart, and they should be given to the chart.

Let's see a setup example for the auth-service.

β”œβ”€β”€ charts/
β”‚Β Β  └── auth-service/
β”œβ”€β”€ charts-values/
β”‚Β Β  β”œβ”€β”€ production/
β”‚   β”‚   β”œβ”€β”€ redis.yaml
β”‚Β Β  β”‚Β Β  └── auth-service.yaml
β”‚Β Β  └── staging/
β”‚Β Β      └── auth-service.yaml
└── src/

The installation command would look like

helm install --values charts-values/production/auth-service.yaml auth-service-prod ./auth-service

I'm not 100% happy with the above setup, mainly with the naming. But it allows having multiple values per chart per environment. We could easily add values for a redis pulled from the official Helm hub. I'd like to hear opinions about it. How'd you do it?


A Release is an instance of a chart running in a Kubernetes cluster. One chart can often be installed many times into the same cluster. And each time it is installed, a new release is created. Consider a MySQL chart. If you want two databases running in your cluster, you can install that chart twice. Each one will have its own release, which will in turn have its own release name [3].

New release

helm install <release_name> <package_name>

Deploy a new release to the cluster.

We can also run a dry-run to check what's going to happen:

helm install <release_name> <package_name> --dry-run
helm install auth-service-prod ./auth-service
  • package_name can be a folder, a .tgz or a url.
  • release_name: the name of this particular release. If the name is different another "instance" will be deployed. So for redis instances it may be worth using different release_names, but for your JavaScript app it may not.
  • The output of templates/NOTES.txt is shown in the prompt when making a new release, useful for CI logs.
  • If you don't want to provide a <release_name>, use --generate-name and it will assign a random <release_name>.
  • Helm stores release config per namespace, so if you want to release 2 redis instances in the same namespace, they should have different <release_name>s [4].
  • Helm does not wait until all of the resources are running before it exits [5].
  • personal: use different release_names per environment (production, staging). Even though it may not be necessary, giving that extra information in the name is useful and cheap.
  • Use helm get values <release_name> to get the values used for the release, useful to check if our custom values were applied properly.

Check release status

After it is installed, we want to know if everything went well.

helm status <release_name>
helm status auth-service-prod

An upgrade takes an existing release and upgrades it according to the information you provide. Because Kubernetes charts can be large and complex, Helm tries to perform the least invasive upgrade. It will only update things that have changed since the last release. [6]

Uprgrade release

helm upgrade -f <custom_values.yaml> <release_name> <package_name>
helm upgrade -f charts-values/production/auth-service.yaml auth-service-prod ./auth-service

Rollback release

helm rollback <release_name> <revision>
helm rollback auth-service-prod 1
  • Any release version increment will produce a revision number. It goes from 1..N.
  • Use helm history <release_name> to see the revisions of your release_name.

Uninstall release

helm uninstall <release_name>

I won't go deep into this, but just know it exists, and you can remove an existing release.

Automating release cycle

A recommended best practice to avoid running helm install and helm upgrade [7] is to use:

helm upgrade --install <release_name> --values <custom_values.yaml> <package_name>

This can be a benefit in an automated CI/CD pipeline. We let Helm perform the check to know if it's a first time, or a release upgrade.

helm upgrade --install auth-service-prod --values charts-values/production/auth-service.yaml ./auth-service
  • Use --atomic to get automatic rollback on failures.[8]

Complex Charts with Many Dependencies

The current best practice for composing a complex application from discrete parts is to create a top-level umbrella chart that exposes the global configurations, and then use the charts/ subdirectory to embed each of the components.5

I think this is an improving point; I haven't understood it by reading the documentation yet.

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