Kubernetes Web View to list and view all Kubernetes resources
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Kubernetes Web View

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Kubernetes Web View allows to list and view all Kubernetes resources (incl. CRDs) with permalink-friendly URLs in a plain-HTML frontend. This tool was mainly developed to provide a web-version of kubectl for troubleshooting and supporting colleagues. See the Kubernetes Web View Documentation and try out the live demo.


  • handling of any API resource: both core Kubernetes and CRDs
  • permalink-friendly URL paths for giving links to colleagues (e.g. to help troubleshoot)
  • option to work with multiple clusters
  • allow listing different resource types on the same page (e.g. deployments and CRDs with same label)
  • replicate some of the common kubectl features, e.g. -l (label selector) and -L (label columns)
  • simple HTML, only add JavaScript where it adds value
  • pluggable links, e.g. to link to other tools based on resource properties like labels (monitoring, reports, ..)
  • optional: editing resources as YAML manifests (kubectl edit)


  • application management
  • reporting/visualization
  • fancy UI (JS/SPA)


This will run Kubernetes Web View locally with your existing Kubeconfig:

docker run -it -p 8080:8080 -u $(id -u) -v $HOME/.kube:/.kube hjacobs/kube-web-view

Open http://localhost:8080/ in your browser to see the UI.

Deploying into your cluster

This will deploy a single Pod with Kubernetes Web View into your cluster:

kubectl apply -f deploy/
kubectl port-forward service/kube-web-view 8080:80

Open http://localhost:8080/ in your browser to see the UI.

Running tests

This requires Python 3.8 and poetry and will run unit tests and end-to-end tests with Kind:

make test

It is also possible to run static and unit tests in docker env (make test is equal to make poetry lint test.unit docker)

docker run -it -v $PWD:/src -w /src python:3.8 /bin/bash -c "pip3 install poetry; make poetry lint test.unit"
make docker

The end-to-end (e2e) tests will bootstrap a new Kind cluster via pytest-kind, you can keep the cluster and run Kubernetes Web View for development against it:

PYTEST_ADDOPTS=--keep-cluster make test
make run.kind

Building the Docker image


Developing Locally

To start the Python web server locally with the default kubeconfig (~/.kube/config):

make run