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Creating Your First Helm Chart: A Practical Guide

5 min read Official DocsApr 22, 2026
PractitionerHands-on experience recommended

Helm charts are essential for managing Kubernetes applications efficiently. They provide a structured way to define, install, and upgrade even the most complex applications. By encapsulating all necessary resources in a single package, Helm charts eliminate the repetitive tasks of deploying applications, allowing you to focus on what really matters: delivering value to your users.

When you create a Helm chart, it typically includes a Chart.yaml, a values.yaml, and directories for charts/ and templates/. The templates/ directory is where the magic happens. Helm evaluates each file in this directory using its template rendering engine, generating Kubernetes manifests that are sent directly to your cluster. For example, if you want to create a ConfigMap, you can define it in a YAML file within the templates/ directory. Here's a simple example:

YAML
1apiVersion: v1
2kind: ConfigMap
3metadata:
4  name: {{.Release.Name}}-configmap
5data:
6  myvalue: "Hello World"

This template dynamically names the ConfigMap based on the release name, making it adaptable for different environments. In production, you can install your chart with a command like $ helm install full-coral ./mychart, which will deploy your resources to Kubernetes. Remember to use --dry-run for testing your templates, but don't rely on it to guarantee that Kubernetes will accept the generated manifests.

As you dive into Helm, keep in mind that template names don’t follow a strict pattern, but it’s best practice to use .yaml for YAML files and .tpl for helpers. The current version, 4.1.1, has improved features, but be cautious: just because a --dry-run works doesn’t mean your chart will install without issues. Always validate your templates against your cluster’s requirements.

Key takeaways

  • Structure your Helm chart with `Chart.yaml`, `values.yaml`, and `templates/`.
  • Use the Helm template rendering engine to generate Kubernetes manifests dynamically.
  • Define ConfigMaps in your templates for flexible configuration management.
  • Test your templates with `--dry-run` but validate against Kubernetes to avoid surprises.
  • Follow best practices for naming templates with `.yaml` and `.tpl` extensions.

Why it matters

In production, using Helm charts can drastically reduce deployment times and minimize errors, leading to more reliable application delivery. Understanding how to create and manage these charts is crucial for maintaining efficient workflows in Kubernetes environments.

Code examples

prism-code
mychart/Chart.yaml
values.yaml
charts/
templates/...
prism-code
apiVersion:v1kind:ConfigMapmetadata:name:{{.Release.Name}}-configmapdata:myvalue:"Hello World"
prism-code
$ helm install full-coral ./mychart

When NOT to use this

The official docs don't call out specific anti-patterns here. Use your judgment based on your scale and requirements.

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