Kubernetes Web View

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.

Goals:

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)

Non-goals:

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

Quickstart

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 3.7 and poetry and will run unit tests and end-to-end tests with Kind:

make test

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

make

Developing Locally

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

make run