Kubernetes Dashboard is a web-based UI for Kubernetes clusters. You can use the UI to deploy applications, manage workloads, monitor Kubernetes resources, and troubleshoot applications running in a cluster.
Headlamp is a modern Kubernetes UI that offers multi-cluster support, plugin-based extensibility, application-centric views, and desktop and in-cluster deployment options.
This article compares the capabilities and workflows of Kubernetes Dashboard and Headlamp.
Table of Contents
Kubernetes Dashboard is a web-based UI for managing Kubernetes clusters. You can access it locally via kubectl port-forward. Kubernetes authentication and RBAC permissions control access to the Dashboard.
The Kubernetes Dashboard project is now archived and no longer maintained, according to Kubernetes documentation. Headlamp is the successor to the Kubernetes Dashboard project.
Headlamp is an open-source, web-based Kubernetes user interface (UI) that you can run as a desktop application or as an application inside a Kubernetes cluster. It provides a graphical alternative to command-line tools such as kubectl.
With Headlamp, you can:
In short, Headlamp provides a user-friendly graphical interface to view and manage Kubernetes clusters and workloads.
This section explains how Kubernetes Dashboard workflows map to Headlamp.
Headlamp provides views to find and monitor workloads. It also simplifies navigation between namespaces and clusters. It helps you organise resources and navigate multiple environments more efficiently.
Headlamp lets you see and edit manifests directly in the user interface. However, this depends on the permissions organisations grant users. You can also scale workloads, delete resources, and update configurations using Headlamp.
Headlamp helps you understand how services, workloads, and configurations are connected. It supports many common Dashboard workflows, including viewing workloads, viewing logs, and performing RBAC-authorised operations.
It also provides UI-based actions for supported Kubernetes resources, but access depends on the RBAC permissions granted to the user.
The table below maps Kubernetes Dashboard to the equivalent Headlamp features across multiple aspects.
| Kubernetes Dashboard | Headlamp Equivalent |
| View workloads and resources | Headlamp provides UI views to identify and inspect Kubernetes workloads and resources across namespaces and clusters. |
| Navigate namespaces and clusters. | It supports navigation across clusters and namespaces in multiple environments. |
| View logs | View logs for supported workloads and resources through its UI. |
| Edit resource manifests | It allows users to view manifests through the UI, subject to their RBAC permissions. |
| Perform RBAC-authorised actions | It exposes supported UI actions according to the permissions granted to the user through Kubernetes RBAC. |
Let’s go through the advantages of Headlamp over Kubernetes Dashboard here.
Headlamp supports working with multiple clusters, unlike Kubernetes Dashboard. It helps you manage development, staging, and production operations from a single interface.
Headlamp lets you use plugins to extend its UI with workflows. So you don’t need to switch between tools.
For example, you can use the Flux plugin to integrate GitOps workflows in Headlamp. It lets you view Git changes alongside changes in resources running in the Kubernetes cluster. Additionally, the AI assistant lets you interact with the UI using natural language. You can understand what you are viewing, troubleshoot issues and perform supported actions.
Most importantly, you can do all this from the same screen. It can answer contextual questions and perform supported actions based on the user’s permissions.
Headlamp Projects provide an application-centric view that groups related services, workloads, and resources in a single place. You can monitor changes in context with Projects and troubleshoot the cluster whenever required.
Labels, namespaces, and RBAC in Headlamp Projects work like the Kubernetes Dashboard. Projects offer more flexibility, letting you view individual or multiple resources as needed.
Headlamp provides a plugin framework that lets teams build plugins needed for their workflows and enhance the user experience.
You can run Headlamp in a Kubernetes cluster. You can also run it as a desktop application. Choose the deployment option that best fits your needs. If you manage a shared environment, you can run Headlamp in a Kubernetes cluster. It provides a centralised UI with access control and standard authentication.
Alternatively, you can run Headlamp as a desktop application for local environments. This approach works better when you need to manage multiple clusters from a single place.
You can deploy Headlamp in a Kubernetes cluster or run it as a desktop application.
Headlamp uses RBAC to control user access to resources. You can configure authentication using a ServiceAccount token.
kubectl -n kube-system create serviceaccount headlamp-admin
kubectl create clusterrolebinding headlamp-admin --serviceaccount=kube-system:headlamp-admin --clusterrole=cluster-admin
kubectl create token headlamp-admin -n kube-system
helm repo add headlamp
https://kubernetes-sigs.github.io/headlamp/
helm install my-headlamp headlamp/headlamp --namespace kube-system
# install Headlamp with your own values.yaml
helm install my-headlamp headlamp/headlamp --namespace kube-system -f values.yaml
# install Headlamp by setting values directly
helm install my-headlamp headlamp/headlamp --namespace kube-system --set replicaCount=2
config.clusterInventory and creates an access provider config file.cluster-inventory-values.yaml file with the required configuration.config:
clusterInventory:
enabled: true
accessProvidersConfig:
providers:
- name: secretreader
execConfig:
apiVersion: client.authentication.k8s.io/v1
command: /access-plugins/secretreader/bin/secretreader-plugin
provideClusterInfo: true
plugins:
- name: secretreader
image: registry.k8s.io/cluster-inventory-api/secretreader:v0.1.1
mountPath: /access-plugins/secretreader
helm install my-headlamp headlamp/headlamp --namespace kube-system --values cluster-inventory-values.yaml
winget install headlamp
winget upgrade headlamp
choco install headlamp
choco upgrade headlamp
Prepare Kubernetes Interview Questions with Answers
Yes, Headlamp serves as an alternative UI for many common Kubernetes management workflows.
Yes. Headlamp supports multiple Kubernetes clusters and lets users switch between them.
Yes. It is suitable for beginners because its graphical interface helps users explore Kubernetes resources without remembering kubectl commands.
Yes. Headlamp allows you to view and edit supported resource manifests. You can do this through its UI, subject to the user’s RBAC permissions.
No, it does not replace kubectl. Headlamp provides a graphical interface, while kubectl remains the command-line interface for Kubernetes. Simply put, you can use both of them together.
In summary, Headlamp replaces Kubernetes Dashboard with more advanced capabilities. This article should help you understand how Kubernetes Dashboard maps to Headlamp and how to install it.
If you are looking for the right platform to expand your Kubernetes knowledge, you can sign up for a Kubernetes course with MindMajix. By the end of the course, you will explore more about Kubernetes dashboards, Headlamp, and much more.

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
| Name | Dates | |
|---|---|---|
| Kubernetes Training | Oct 17 to Nov 01 | View Details |
| Kubernetes Training | Oct 20 to Nov 04 | View Details |
| Kubernetes Training | Oct 24 to Nov 08 | View Details |
| Kubernetes Training | Oct 27 to Nov 11 | View Details |

Vinod Kasipuri is a seasoned expert in data analytics, holding a master's degree in the field. With a passion for sharing knowledge, he leverages his extensive expertise to craft enlightening articles. Vinod's insightful writings empower readers to delve into the world of data analytics, demystifying complex concepts and offering valuable insights. Through his articles, he invites users to embark on a journey of discovery, equipping them with the skills and knowledge to excel in the realm of data analysis. Reach Vinod at LinkedIn.