What Is Helm in Kubernetes? Simplify Application Deployment (2026)

Helm is one of the most useful tools in a developer’s tool belt for managing Kubernetes clusters. If you’re new to “what is Helm in Kubernetes” or trying to understand what Helm does, it simplifies how applications are deployed and managed using reusable templates. 

This article explores what is Helm and what is Helm chart in Kubernetes, giving you a good understanding of how you can standardize and simplify your Kubernetes deployments.

What is Helm in Kubernetes?

If we are to define Helm, it is a package manager for Kubernetes that simplifies deploying and managing applications using reusable templates called charts. Instead of manually creating and maintaining multiple YAML files, Helm groups Kubernetes resources into a single, versioned unit.

So, what is a Helm chart? 

A Kubernetes Helm chart is a template used to define, install, and manage applications on a Kubernetes cluster. It packages all required resources, such as Deployments, Services, and ConfigMaps, into a structured format that can be reused across environments.

Charts are written in YAML and include metadata about each resource in your application (such as labels, values, and dependencies). You can use a chart on its own or combine it with other charts into composite charts, making it easier to create new applications or modify existing ones. 

Helm allows you to manage a single chart version across different environments, ensuring consistency and reducing configuration drift.

We’ll discuss Helm charts in more detail later in the article.

Why Use Helm?

Helm provides a standardized way to deploy and manage applications across Kubernetes environments. In Helm K8s, it enables consistent configuration, version control, and repeatable deployments—key for GitOps workflows.

For developers, Helm charts make it easy to package and reuse applications. For operations teams, Helm integrates directly into CI/CD pipelines, automating deployments and updates.

So, what is Helm used for in practice? It streamlines how teams deploy, update, and manage applications at scale without rewriting Kubernetes manifests for every environment.

A common question is what does Helm install do: it takes a chart, renders the templates using defined values, and deploys the resulting Kubernetes resources to the cluster, creating a tracked release that can be upgraded or rolled back.

How Helm Works?

Helm defines an application lifecycle from deployment to upgrade through Helm charts. These charts act as templates that describe Kubernetes resources and configurations.

Using the Helm CLI (helm), users create, configure, and deploy charts. 

When a chart is installed, Helm renders the templates into Kubernetes manifests and applies them to the cluster via the Kubernetes API. Each deployment is tracked as a release, enabling versioning, upgrades, and rollbacks.

Helm Architecture

Helm uses a client-side architecture where the Helm CLI interacts directly with the Kubernetes API server to install, upgrade, and manage applications. Helm’s architecture consists of two parts, both bundled into a single binary:

• Helm client: It’s the user-facing CLI. It accepts commands like helm install, helm upgrade, and helm rollback, manages chart repositories, and is what developers use day-to-day. It’s available as a binary for macOS, Linux, and Windows, and can also be installed via package managers like Homebrew, Chocolatey, apt, and Snap.

• Helm library: It’s the Go library compiled into the CLI binary. It handles the underlying work, such as rendering chart templates, resolving dependencies, and making the actual API calls to the Kubernetes cluster.

What are Helm Charts and How Do Helm Charts Work?

What is a Helm Chart in Kubernetes? Chart is the packaging format used by Helm. It contains the specs that define the Kubernetes objects that the application consists of, such as YAML files and templates, which convert into Kubernetes manifest files. Charts are reusable across environments. So, what is Helm chart used for? It packages Kubernetes resources into reusable templates, making it easier to deploy, update, and manage applications consistently across environments. This reduces complexity, minimizes duplication across configurations, and helps you to standardize deployments while simplifying version control and rollbacks. 

There are three basic concepts to Helm charts:

1. Chart: A Helm chart is a pre-configured template for provisioning Kubernetes resources.
2. Release: A release represents a chart that has been deployed.
3. Repository: A repository is a public or private location for storing charts.

When working with Helm, developers search repositories for charts. They install the charts onto Kubernetes clusters, which creates a release.

Helm Chart Structure

The files and directories of a Helm chart each have a specific function:

YOUR-CHART-NAME/

|

|- charts/ 

|

|- templates/

|

|- Chart.yaml 

| 

|- values.yaml

Charts: The charts directory contains other charts the main chart depends on. A single chart could depend on several charts. Thus, there might be multiple charts in this directory.

Templates: This folder stores the manifest being deployed with the chart. For example, you may deploy an application that needs a service, a config map, and secrets. In this case, the directory would contain a deployment.yaml, service.yaml, config.yaml, and a secrets.yaml. Each of these files would get its values from the values.yaml file.

Chart.yaml: This file holds meta information such as the version, name, search keywords, etc.

Values.yaml: Default configuration values for the chart.

Benefits of Using Helm

Developers and DevOps teams appreciate Helm’s ability to automate complex Kubernetes deployments. The tool frees them up to focus on more value-added tasks. The tool is very user-friendly, so you don’t need special skills or knowledge. The user interface is intuitive, meaning you can easily manage your cluster deployments while using advanced Helm capabilities.

Strong Security Model

It is a very secure solution that ensures you can only install packages you trust in your cluster.

Flexible

It is a very flexible and customizable solution that makes installing different packages on your Kubernetes cluster easy, especially when working within k8 helm environments.

Large Package Ecosystem

It has a very large ecosystem of packages, so you can find the package you are looking for.

Community Support

Helm is an open-source tool supported by a large community of developers. That means there’s plenty of support and advice if you encounter challenges.

Helm Simplifies Deployments

Helm charts allow developers to provision Kubernetes resources with the “click of a button” (or via a command if using the command line interface). A Kubernetes Helm chart enables developers to perform complex deployments by including chart dependencies within other charts, improving Helm automation across environments.

Automatic Versioning and Rollback Capabilities

Keeping track of versions across deployments can be a challenge. Helm automatically handles this task. The tool keeps a database of all release name versions. That way, if something goes wrong, the developer can simply roll back to the previous version. Each deployment creates a new version, allowing for easy tracking of changes over time. If a deployment encounters issues, rolling back to a stable version is fast and straightforward, minimizing any potential system performance disruptions.

CI/CD Integration

DevOps engineers enjoy the tool’s seamless CI/CD pipeline integration. Helm provides integration hooks that you can configure to perform certain actions. For example, these hooks can be configured to act before installation begins or after installation. You can also use these hooks to run health checks on a Helm deployment and verify if the deployment was successful. Additionally, these hooks can trigger automated tests or rollbacks based on specific conditions, allowing teams to maintain a robust and streamlined Helm CI CD pipeline with minimal manual intervention.

Helm Boosts Developer Productivity

As we mentioned, you can share Helm charts. These templates mean you won’t need to spend time rewriting manifests for common tasks. You can also use them to quickly generate a new chart based on one of your existing templates. For example, if you want to generate a new Kubernetes application with a specific service account, you can do this with a single line of code. This makes it easier for your team to scale with Kubernetes, as you won’t need to rewrite manifests to handle the same tasks.

Helm Smooths the Kubernetes Learning Curve

Kubernetes is a complex tool with many features and configuration options. The learning curve can be overwhelming. Using Helm removes the complexity and makes Kubernetes more approachable. You can begin using Helm with a single command to install a chart. It also has a user-friendly graphical interface. You can search for charts in the public repository to find one that meets your needs. 

Private repositories also allow your company’s engineers to upload their charts for other employees to install. Where other tools may require configuration files, Helm uses a declarative approach. You can specify all of your desired settings in a single file and then install the chart. With Helm, you can also set up automated updates and deployment schedules to keep your cluster up to date with the latest software, simplifying managing kubernetes resources using helm epub workflows.

Application Configuration During Deployment

Another distinguishing feature is the ability to provide application configuration during deployment. Not only can you specify the Kubernetes resources (deployments, services, etc.) that make up your application, but also the environment-specific configuration for those resources. This allows the same Helm chart to be used across all of your environments.

Creating a Basic Helm Chart

To create a Helm chart, you need a directory where the chart will live. Helm provides a scaffolding command, helm create, which generates this directory along with all the standard files and folders. 

Here’s how to scaffold a new chart and install it on a Kubernetes cluster.

# helm create my-app

# helm install my-app ./my-app

The first argument to helm install is the release name, and the second is the path to the chart. The next step is to configure the chart. You do this by editing the values.yaml file that the helm create command generated inside the my-app directory. The following example shows how to configure the my-app chart to deploy an application named hello-world.

apiVersion: apps/v1

kind: Deployment

metadata:

  name: my-app

  labels:

    app: hello-world

spec:

  replicas: 1

  selector:

    matchLabels:

      app: hello-world

  template:

    metadata:

      labels:

        app: hello-world

    spec:

      containers:

        - name: hello

          image: kubernetes/hello

          ports:

            - containerPort: 80

The first line in the example sets the API version for the my-app object to apps/v1. The next line sets the kind of chart to be a Deployment. The metadata for the my-app chart defines its name and labels.

The labels field in this file will contain the name of the application being deployed, and the spec field will contain the application’s configuration. In this case, only one container will be deployed, and it will have port 80 open. The last line in this file sets up the template for the my-app chart, which tells Helm how to create and deploy the application.

To run the my-app chart, you can use the helm command.

# helm list

# helm install my-app ./my-app

The first command lists all of the charts that are currently installed on your system. The second command deploys the my-app chart to a Kubernetes cluster. Helm provides developers with an elegant way of packaging and deploying applications in a Kubernetes cluster. 

Helm Chart vs Kubernetes Manifest – What’s the Difference?

“What is Manifest file in Kubernetes?” It’s a YAML configuration file that defines the desired state of resources like Deployments, Services, and Pods, which Kubernetes then creates and manages.

By contrast, Helm adds a layer of abstraction on top of these manifests. Instead of managing individual YAML files, Helm packages them into charts with templating, values, and version control.

• Kubernetes manifests are static YAML files that require manual updates for each environment.
• Helm charts are dynamic templates that generate manifests based on configurable values.
• Manifests require duplication and manual tracking of changes, while Helm enables versioning, reuse, and automated rollbacks.

Kubernetes manifests define what to deploy, while Helm simplifies how you deploy, manage, and scale those resources across environments.

From Helm Deployments to Real-Time Visibility

Helm standardizes how you deploy applications, but it doesn’t tell you what’s happening after those deployments are applied to the Kubernetes cluster and running as active resources.

Once a release is live, you still need to answer critical questions:

• Did the deployment introduce latency or errors?
• Are pods scaling as expected across environments?
• Did a configuration change impact service health?

This is where observability becomes essential.

• LogicMonitor brings together metrics, logs, and alerts in one place, so you can see how your Helm deployments are performing in real time. Instead of switching between tools, you get immediate context, connecting deployments to system behavior and helping you identify issues faster.

Helm helps you deploy faster. LogicMonitor helps you understand what happens next.

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