
Overview
When it comes to deploying applications on Kubernetes, Helm charts have become an essential tool for managing Kubernetes resources in a standardized way. Helm provides a simple, yet powerful mechanism for packaging, configuring, and deploying applications in Kubernetes clusters. However, as your application grows and becomes more complex, it’s essential to maintain a structured approach to organizing your Helm charts for scalability and manageability.
In this post, we’ll dive into a recommended Helm directory structure that promotes clarity, efficiency, and best practices, ensuring your Helm charts are easy to maintain, update, and collaborate on.
Why a Proper Helm Chart Directory Structure Matters?
Just like any software project, the way you organize your Helm charts matters. A well-structured chart not only makes it easier for you to manage resources as your project grows, but it also ensures that your team can quickly understand the configuration, troubleshoot issues, and deploy updates efficiently.
So, whether you’re working on a simple app or a complex microservices architecture, structuring your Helm charts properly from the start will save you time and headaches down the line.
Recommended Helm Chart Directory Structure
Here’s a recommended structure for organizing your Helm chart directories:

Breakdown of Key Directories and Files
charts/
The charts directory is where you store any sub-charts or dependencies that your Helm chart relies on. For example, if your app needs a database or caching layer, you can add a chart for Redis, MongoDB, or MySQL in this directory. Helm handles these dependencies automatically when you deploy your main chart.
Why it's useful: Keeping sub-charts within the main chart ensures that all related resources are packaged and versioned together. You can use helm dependency update to download and manage the dependencies.
templates/
The templates directory is the heart of your Helm chart. This is where you define your Kubernetes resources as template files. Each file here represents a Kubernetes resource (e.g., deployment.yaml, service.yaml) but with placeholders that get filled dynamically with values from values.yaml or passed at deployment time.
Why it's useful: This directory keeps all your Kubernetes resources in one place and allows you to reuse and parameterize configurations. Templates make your deployment flexible, as you can easily change configurations without modifying the underlying resource definitions.
Example files:
deployment.yaml: Defines how the application will be deployed (e.g., number of replicas, image, etc.).
service.yaml: Describes how the application will be exposed within the cluster (e.g., ClusterIP or LoadBalancer service type).
ingress.yaml: Configures the ingress rules to expose your application to external traffic.
configmap.yaml: Used to store non-sensitive configuration data that your app needs.
secret.yaml: Manages sensitive data such as passwords and API keys.
_helpers.tpl: A template file used for reusable code snippets or helper functions.
values.yaml
This file contains the default values for all the variables used in the templates. These values can be overridden using different values-<environment>.yaml files, allowing you to configure your chart for different environments (e.g., production, staging, development).
Why it's useful: Keeping a central values.yaml makes it easier to customize the behavior of your chart for different environments. You can include default values that your templates will reference during rendering.
Chart.yaml
This file is the metadata of your Helm chart. It contains crucial information such as:
The chart name
The chart version
A description
The maintainers
Dependencies (if any)
Why it's useful: Chart.yaml ensures that Helm knows the essential details about your chart. It also helps with versioning, which is essential for tracking changes across different deployments.
A well-documented README.md is a key part of any project. This file should explain:
What the chart does
How to install it
How to configure it
Special instructions or configurations for different environments
Why it's useful: A good README ensures that anyone using the chart (including your future self) understands how to deploy and manage it.
scripts/ (Optional)
If your chart requires custom pre- or post-deployment tasks, the scripts directory is where you can store those. You might use these scripts to:
Set up external dependencies
Run tests before deployment
Clean up resources after deployment
Why it's useful: Custom scripts provide flexibility for your chart to handle unique deployment requirements. For example, pre-install.sh could be used for preparing the cluster before installing your app, and post-install.sh might run additional configurations after deployment.
Why This Structure Works
Scalability: As your application grows and you start managing multiple microservices or complex systems, the structure can scale to support additional templates, dependencies, and custom scripts. You won’t outgrow this directory structure, making it easier to manage complex systems.
Maintainability: Organizing your chart into meaningful directories ensures that it’s easy to find and modify resources when needed. The separation of configuration (values.yaml) from implementation (templates) also makes it simple to update and maintain.
Collaboration: A standardized structure makes it easier for multiple people to work on the same chart. New developers can jump into the project and understand the layout quickly, while DevOps teams can more easily manage deployments.
Conclusion
Having a well-organized Helm chart directory structure is critical for managing Kubernetes applications successfully. By following this structure, you can ensure that your Helm charts are scalable, maintainable, and easy to collaborate on.
As your project grows, this organization will also help streamline CI/CD pipelines, version control, and troubleshooting, giving you more time to focus on innovation rather than on managing chaos.
So, what are you waiting for? Start structuring your Helm charts this way and build a robust foundation for your Kubernetes deployments!
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