File: README.md
Description
Helm Dashboard is an open-source project which offers a UI-driven way to view the installed Helm charts, see their revision history and
corresponding k8s resources. It also allows users to perform simple actions such as rolling back to a
revision or upgrading to a newer version.
This project is part of Komodor's vision to
help Kubernetes users to navigate and troubleshoot their clusters. It is important to note that Helm Dashboard is NOT an official project by the helm team.
Key capabilities of the tool:
- See all installed charts and their revision history
- See manifest diff of the past revisions
- Browse k8s resources resulting from the chart
- Easy rollback or upgrade version with a clear and easy manifest diff
- Integration with popular problem scanners
- Easy switch between multiple clusters
- Can be used locally, or installed into Kubernetes cluster
- Does not require Helm or Kubectl installed
All the features of the tool can be discovered via our features overview page.
Installation
Standalone Binary
Since version 1.0, the recommended install method is to just use standalone binary. It does not require Helm or kubectl to be installed.
Download the appropriate release package for your platform, unpack it and just run dashboard binary from it. See below section for some more CLI parameters to use.
Using Helm plugin manager
To install dashboard as Helm plugin, simply run Helm command:
helm plugin install https://github.com/komodorio/helm-dashboard.gitTo update the plugin to the latest version, run:
helm plugin update dashboardTo uninstall, run:
helm plugin uninstall dashboardTo use the plugin, your machine needs to have working helm and also kubectl commands. Helm version 3.4.0+ is required.
After installing, start the UI by running:
helm dashboardThe command above will launch the local Web server and will open the UI in a new browser tab. The command will hang
waiting for you to terminate it in command-line or web UI.
You can see the list of available command-line flags by running helm dashboard --help.
By default, the web server is only available locally. You can change that by specifying HD_BIND environment variable
to the desired value. For example, 0.0.0.0 would bind to all IPv4 addresses or [::0] would be all IPv6 addresses.
This can also be specified using flag --bind <host>, for example --bind=0.0.0.0 or --bind 0.0.0.0.
Precedence order: flag
--bind=<host>> envHD_BIND=<host>> default valuelocalhost
If your port 8080 is busy, you can specify a different port to use via --port <number> command-line flag.
If you need to limit the operations to a specific namespace, please use --namespace=... in your command-line. You can specify multiple namespaces, separated by commas.
If you don't want the browser tab to automatically open, add --no-browser flag in your command-line.
If you want to increase the logging verbosity and see all the debug info, use the --verbose flag.
Disclaimer: For the sake of improving the project quality, there is user analytics collected by the tool. You can disable this collecting with
--no-analyticsoption. The collection is done via DataDog RUM and Heap Analytics. Only the anonymous data is collected, no sensitive information is used.
Deploying Helm Dashboard on Kubernetes
The official helm chart is available here
Support Channels
We have two main channels for supporting the Helm Dashboard
users: Slack community for general conversations
and GitHub issues for real bugs.
Contributing
Kindly read our Contributing Guide to learn and understand about our development process, how to propose bug fixes and improvements, and how to build and test your changes to Helm Dashboard.
Contributors
Local Dev Testing
Prerequisites, binaries installed and operational:
- Golang
- Node.js
There is a need to build frontend and then backend as a series of commands, run:
Linux
cd frontend && npm run build && cd ..
go build -o bin/dashboard .Or just make build that will do everything inside.
Then, you can run npm run dev from frontend directory to work on frontend with Vite hot reload.
Windows
cd frontend && npm run build && cd ..
go build -o bin\dashboard.exe .You can just run the dashboard or dashboard.exe binary directly.
To install, checkout the source code and run from source dir:
helm plugin install .A local installation of the plugin just creates a symlink, so making the changes and rebuilding the binary would not require
to
reinstall a plugin.
To use the plugin, run in your terminal:
helm dashboardThen, use the web UI.
Development Snapshots
In our GitHub actions, we attach the built binaries as build artifacts, you can download and test it fully assembled.
Also, we upload unstable tag for Docker image upon every build of main branch, you can make our Helm chart to use that image by providing values:
image:
pullPolicy: Always
tag: unstableFile: charts/helm-dashboard/README.md
Helm Dashboard
TL;DR;
helm repo add komodorio https://helm-charts.komodor.io
helm repo update
helm upgrade --install helm-dashboard komodorio/helm-dashboardIntroduction
This chart bootstraps a Helm Dashboard deployment on a Kubernetes cluster using the Helm package manager.
While installed inside cluster, Helm Dashboard will run some additional background actions, for example, will automatically update Helm repositories. To enable that behavior locally, set HD_CLUSTER_MODE env variable.
Prerequisites
- Kubernetes 1.16+
Installing the Chart
To install the chart with the release name helm-dashboard:
helm install helm-dashboard .The command deploys Helm Dashboard on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation.
Tip: List all releases using
helm list
Uninstalling the Chart
To uninstall/delete the helm-dashboard deployment:
helm uninstall helm-dashboardThe command removes all the Kubernetes components associated with the chart and deletes the release.
Adding Authentication
The task of authentication and user control is out of scope for Helm Dashboard. Luckily, there are third-party solutions which are dedicated to provide that functionality.
For instance, you can place authentication proxy in front of Helm Dashboard, like this one: https://github.com/oauth2-proxy/oauth2-proxy
Parameters
The following table lists the configurable parameters of the chart and their default values.
| Parameter | Description | Default |
|---|---|---|
global.imageRegistry |
Registry for all images, useful for private registry | "" |
global.imagePullSecrets |
Specify Docker-registry secret names as an array | [] |
image.repository |
Image registry/name | komodorio/helm-dashboard |
image.tag |
Image tag | |
image.imagePullSecrets |
Specify Docker-registry secret names as an array | [] |
image.pullPolicy |
Image pull policy | IfNotPresent |
replicaCount |
Number of dashboard Pods to run | 1 |
dashboard.allowWriteActions |
Enables write actions. Allow modifying, deleting and creating charts and kubernetes resources. | true |
resources.requests.cpu |
CPU resource requests | 200m |
resources.limits.cpu |
CPU resource limits | 1 |
resources.requests.memory |
Memory resource requests | 256Mi |
resources.limits.memory |
Memory resource limits | 1Gi |
service.type |
Kubernetes service type | ClusterIP |
service.port |
Kubernetes service port | 8080 |
serviceAccount.create |
Creates a service account | true |
serviceAccount.name |
Optional name for the service account | {RELEASE_FULLNAME} |
commonLabels |
Labels to add to all resources managed by this chart | {} |
nodeSelector |
Node labels for pod assignment | |
affinity |
Affinity settings for pod assignment | |
tolerations |
Tolerations for pod assignment | |
dashboard.persistence.enabled |
Enable helm data persistene using PVC | true |
dashboard.persistence.accessModes |
Persistent Volume access modes | ["ReadWriteOnce"] |
dashboard.persistence.storageClass |
Persistent Volume storage class | "" |
dashboard.persistence.size |
Persistent Volume size | 100M |
dashboard.persistence.labels |
Extra labels for the Persistent Volume Claim | {} |
dashboard.persistence.annotations |
Annotations for the Persistent Volume Claim | {} |
dashboard.persistence.finalizers |
Finalizers for the Persistent Volume Claim | [kubernetes.io/pvc-protection] |
dashboard.persistence.lookupVolumeName |
Lookup volume name for the Persistent Volume Claim | true |
updateStrategy.type |
Set up update strategy for helm-dashboard installation. | RollingUpdate |
extraArgs |
Set the arguments to be supplied to the helm-dashboard binary | [--no-browser, --bind=0.0.0.0] |
testImage.repository |
Test image registry/name | busybox |
testImage.tag |
Test image tag | lastest |
testImage.imagePullSecrets |
Specify Docker-registry secret names as an array | [] |
testImage.pullPolicy |
Test image pull policy | IfNotPresent |
Specify each parameter using the --set key=value[,key=value] argument to helm install. |
helm upgrade --install helm-dashboard komodorio/helm-dashboard --set dashboard.allowWriteActions=true --set service.port=9090Tip: You can use the default values.yaml
File: frontend/README.md
Helm dashboard React
Welcome to the frontend of the helm dashboard.
We care most about keeping the project:
- Maintainable
- Extendable
- Contributor friendly
The FE Stack
- Vite, as our build tool.
- React, as our UI library.
- TypeScript and ESLint will keep the project safe, please keep them clean.
- Tailwind for styling.
- React-Query for fetching data from the backend.
- Storybook is utilized to develop a component library.
Please follow through the file structure to understand how things are structured and should be used.
Contribution guide
Setting up your development environment
- First you should fork this repository.
- Clone your new repository using
git clone <https_or_ssh_url>.
Running helm dashboard
- Make sure you cloned the project correctly. This is explained in this stage.
- run the backend server. This is also explained in the above link.
- go to
frontendin your local project. - in order to install dependencies and start the development server
npm inpm run dev
- with the default integration the dashboard should run on http://localhost:5173/
Component library
We created a components library to have a consistent design system throughout the project. Please rely on these components.
Additional information and examples on how to use them are available when you run Storybook, which shows them in an interactive way and in different scenarios.
Once you run it, you'll be able to see pre-made scenarios, documentation, and play with the component properties.
To run Storybook, make sure that all the dependencies are installed and run:
npm run storybookRefer to the official documentation for more information.
Helpers
- Icons: https://react-icons.github.io/react-icons/
- Tailwind: https://tailwindcss.com/docs
- Typescript: https://www.typescriptlang.org/docs/handbook/intro.html
- React-query: https://react-query.tanstack.com/overview
Coding Conventions
- Use only functional components
- Please prefer async/await over .then
- wrap every function with try/catch unless you want to display the error to the user
in such case we have a general error handler in the app.tsx file which will display the error to the user in a modal - Please use the component library we created, it will help us keep a consistent design system
- Please use the react-query library to fetch data from the backend
- Prefer use fetch API over axios, if you see axios in the code, replace it with fetch.
- Use
for inner routes - User query params in the url for filters or any other state that can be represented
- Hooks:
- useCustomSearchParams - for search params