Introduction to Helm Charts
Understand what Helm is and how charts provide a reproducible way to define, install, and upgrade applications.
Introduction to Helm Charts is a free DevOps Bootcamp lesson on CoddyKit. This is lesson 1 of 4. Any 3 lessons of this learning path are free to read in full — after that, CoddyKit PRO unlocks every lesson, plus hands-on practice with a built-in code editor and a 24/7 AI tutor. It is part of the DevOps Bootcamp learning path, and your progress syncs across the web and the CoddyKit app. The DevOps Bootcamp course includes 4 lessons in total.
The Kubernetes Deployment Challenge
Deploying applications to Kubernetes can get complex. Imagine managing dozens of YAML files for a single application: Deployments, Services, ConfigMaps, and more.
This complexity can make it hard to deploy, update, and share applications consistently across different environments or teams.
Meet Helm: Kubernetes Package Manager
Helm is often called the "package manager for Kubernetes." Think of it like apt for Ubuntu or yum for CentOS, but for Kubernetes applications.
It simplifies the process of defining, installing, and upgrading even the most complex Kubernetes applications.
Helm's Core: The Chart
The fundamental unit of Helm is a Chart. A Chart is a collection of files that describe a related set of Kubernetes resources.
- It defines all the necessary components for an application.
- It can be versioned, shared, and reused.
- It's like a recipe for deploying an application on Kubernetes.
Why Use Helm Charts?
Helm Charts bring several key benefits:
- Reproducibility: Deploy the same application configuration reliably.
- Reusability: Share complex application setups easily.
- Version Control: Track changes and roll back to previous versions.
- Customization: Easily configure applications for different environments.
Helm 3 Architecture: Client-Only
With Helm 3, the architecture is simpler. Helm consists only of a client-side command-line interface (CLI).
Unlike previous versions that required a server-side component called Tiller, Helm 3 interacts directly with the Kubernetes API server, improving security and simplifying setup.
Anatomy of a Helm Chart
A Helm Chart is structured as a directory containing several files and subdirectories. Here are the most important parts:
Chart.yaml: Chart metadatavalues.yaml: Default configuration valuestemplates/: Kubernetes manifest templatescharts/: Dependencies (subcharts)
`Chart.yaml`: Chart Metadata
The Chart.yaml file provides essential metadata about the chart itself. This includes:
apiVersion: The Chart API version.name: The name of the chart (e.g.,nginx).version: The chart's version (e.g.,1.16.0).description: A brief summary of the chart.
`values.yaml`: Customizing Your Chart
The values.yaml file holds the default configuration values for a chart. These values can be overridden during installation or upgrade, allowing for flexible deployments.
For example, you might define the number of replicas or an image tag here.
`templates/`: Kubernetes Manifests
The templates/ directory is where you define the actual Kubernetes resource manifests (like Deployments, Services, etc.).
These files use Go template syntax, allowing them to be dynamically generated based on the values provided in values.yaml or during installation.
Check Your Helm Version
Let's confirm Helm is installed and check its version. This is a simple command to interact with the Helm CLI.
helm versionQuick Check: Helm Charts
Which of the following best describes the primary purpose of a Helm Chart?
Recap & Next Steps
Great job! You've learned the basics of Helm and its core concept: Charts.
- Helm is a Kubernetes package manager.
- Charts simplify complex deployments.
- They offer reusability, versioning, and customization.
- Helm 3 is client-only.
- Key Chart components are
Chart.yaml,values.yaml, andtemplates/.
Next, we'll dive into how to use Helm to deploy applications from existing charts.
Learn DevOps Bootcamp with an AI tutor — free
Write and run real code in your browser, get instant help from a 24/7 AI tutor, and pick up where you left off on the web or in the app.
- Courses
- 142
- Lessons
- 568
Frequently Asked Questions
Is the “Introduction to Helm Charts” lesson free?
Yes — any 3 lessons of the DevOps Bootcamp learning path, including “Introduction to Helm Charts”, are free to read in full here on the web. After that, CoddyKit PRO unlocks every lesson, plus interactive practice with a built-in code editor and a 24/7 AI tutor. The DevOps Bootcamp course includes 4 lessons in total.
What will I learn in “Introduction to Helm Charts”?
Understand what Helm is and how charts provide a reproducible way to define, install, and upgrade applications. You practise DevOps Bootcamp with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start DevOps Bootcamp?
No prior experience is required. DevOps Bootcamp on CoddyKit is structured for beginners through advanced learners, so you can start here or from the beginning and move at your own pace. This is lesson 1 of 4.
How long does the “Introduction to Helm Charts” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this DevOps Bootcamp lesson?
Yes. Every DevOps Bootcamp lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Introduction to Helm Charts
- Deploying Applications with Helm
- Customizing and Managing Releases
- Building and Sharing Your Own Helm Charts