Kubernetes Helm Full Course 2026 ☸️ | Zero to Job-Ready 🚀 | Real-World Projects + 31 LPA Career Path

Summary

The session introduces Helm as a package manager for Kubernetes and demonstrates how charts can simplify deploying, configuring, upgrading, troubleshooting, and rolling back applications.

Why Helm Is Useful

A Kubernetes application may require many YAML manifests, such as Deployments, Services, ConfigMaps, and Secrets. When multiple applications share configuration, copying and maintaining manifests creates duplication and makes updates harder.

Helm packages Kubernetes resources into reusable charts. Users can install a chart and customize its values instead of writing every manifest from scratch. The instructor compares Helm to package managers such as apt or Homebrew: a user requests a package, and the tool retrieves and installs it.

Helm’s Core Components

• Helm client: The command-line tool run locally. It communicates with the cluster selected in the user’s kubeconfig.
• Chart: A packaged collection of files that describes an application and its Kubernetes resources.
• Repository: A location that hosts charts. It can be public or private and is added locally under an alias.
• Release: A specific installation of a chart in a cluster, with a name, namespace, and revision history.

The lesson emphasizes checking the active Kubernetes context before installing or upgrading, because Helm acts on the cluster to which the client is connected.

Charts, Templates, and Values

A chart commonly contains:

• Chart.yaml for chart metadata.
• values.yaml for configurable default values.
• A templates/ directory containing Kubernetes resource templates.
• Helper templates, often in _helpers.tpl, for reusable logic such as common names and labels.

Templates define the resources, while values provide the settings used to render them. Users can override chart defaults—for example, replica counts or resource requests—without rewriting the Kubernetes YAML. Values can be supplied through a file or directly through command-line options.

Helper templates reduce repeated logic across template files.

ConfigMaps and Secrets

The instructor distinguishes between:

• ConfigMaps for ordinary, non-sensitive configuration, such as a database hostname or application URL.
• Secrets for sensitive values, such as passwords, API keys, or tokens.

Kubernetes Secrets are base64-encoded by default, not encrypted by default. The lesson warns against putting credentials in ordinary configuration or source-control files, including the risk of accidentally committing tokens or SSH keys to Git.

Repositories and Chart Versions

The class demonstrates adding and listing Helm repositories. A repository name is a local alias and is not necessarily the repository’s actual name. An attempted repository name fails because it has not been added, and an alias already in use must be replaced with another name.

Repositories can host multiple chart versions, allowing users to select a version instead of being limited to the newest one. The instructor also reviews the usual major, minor, and patch version pattern and examines chart history.

Commands and Deployment Workflow

The practical workflow covered is:

1. Confirm Helm is installed and check its version.
2. Confirm the intended Kubernetes context and namespace.
3. Add a chart repository using its URL and a local alias.
4. List configured repositories.
5. Install a chart, or use helm upgrade --install to install it if it does not exist or upgrade it if it does.
6. Inspect the release and the Kubernetes resources it created.
7. Use helm history to review release revisions.
8. Use helm rollback to return to an earlier revision.
9. Use helm uninstall to remove a release.

The class installs a chart into a namespace and checks the resulting resources. It also stresses that adding a repository only configures access to charts; an install or upgrade command is still required to deploy a chart to the cluster.

Hands-On Troubleshooting

A substantial part of the demonstration focuses on a workload that remains pending because its resource request cannot fit on the available nodes.

The troubleshooting approach shown is to:

• Inspect the affected pod or resource with describe.
• Check its Events for scheduling messages.
• Determine whether the problem is insufficient node capacity, a node-group limit, or an unsuitable resource request.
• Decide whether to increase node capacity or adjust the application’s resource settings.
• In the demonstration, reduce the chart’s memory request from 2 GB to 1 GB, then upgrade the release.
• Check the release history and Kubernetes resources to see whether the new revision succeeds.

The example illustrates that Helm manages the release, but Kubernetes still schedules and runs the resources. A chart cannot make an application run if the cluster lacks sufficient capacity.

Release History and Rollback

Each install or upgrade creates a release revision. The class demonstrates that a failed revision can remain in the history and that a later successful upgrade can supersede it.

• helm history helps identify which revisions succeeded or failed.
• helm rollback requires a target revision.
• Rollback restores the chart configuration associated with that revision; it does not guarantee that the old configuration will work with current cluster capacity.
• Repeated experiments can make a known-good revision harder to find, so keeping track of a working configuration is useful.
• Helm keeps a default history of 10 revisions, and this setting is configurable.

CRDs and Custom Resources

CustomResourceDefinitions (CRDs) extend Kubernetes with resource types beyond built-in objects such as Pods, Services, and Deployments. A CRD teaches the Kubernetes API about a new kind of resource; a custom resource is an instance of that kind.

The lesson discusses CRDs in relation to tools such as Istio and Karpenter. Karpenter examples include NodePool and EC2NodeClass. The class also installs an Istio base chart and inspects the resources created by the installation.

Terraform and Helm

The discussion distinguishes their common roles:

• Terraform is used to provision infrastructure such as a Kubernetes cluster and its node groups.
• Helm is used to deploy and manage applications and charts on a cluster.
• Terraform can also be used to manage Helm releases, though the class’s hands-on Helm commands are run from the local Helm client.

Career and Study Advice

Outside the technical material, the instructor encourages students to study consistently, complete assigned tasks, and practice communication for interviews. Suggestions include practicing English aloud during everyday activities and recording an introduction video to improve interview presentation.

The instructor also promotes the training as free and cites placement and salary figures. These are the instructor’s claims in the video and are not independently verified results.

Speakers and Sources Featured

• Neeraj: The instructor, leading the Helm lesson and giving study and career advice.
• Unnamed class participants: Students who ask questions and respond during the technical demonstrations.
• YouTube viewers and commenters: The instructor addresses the online audience and refers to comments and channel activity.
• External tools and sources mentioned: Helm and Kubernetes command-line tools; Kubernetes documentation concepts; GitHub and public chart repositories, including Bitnami, Istio, and DataDog; Terraform; AWS/EKS and an AWS troubleshooting or AI feature; and ChatGPT.