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How to deploy a Kubernetes web panel into your cluster with Aliangboard

Apply one manifest to get a multi-cluster panel with exec, port-forward and debug containers.

Short answer: Run kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml; then Find the port with kubectl -n aliangboard get svc aliangboard; open the panel on the NodePort and sign in. All steps.

Remote script. The manifest is applied straight from GitHub, so review deployment.yaml before granting it cluster access.

Who it is forA platform engineer who wants a lightweight UI for a small team's clusters.

The problemkubectl alone is slow for browsing workloads, logs and events.

The outcomeA web panel on a NodePort covering the full resource lifecycle.

What you need first

  • A Kubernetes cluster and kubectl, or Docker
  • An MCP client such as Claude Code for agent access

Steps

  1. Run kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml
  2. Find the port with kubectl -n aliangboard get svc aliangboard
  3. Open the panel on the NodePort and sign in
  4. Browse namespaces and workloads

Prompt for your agent

Deploy aliang-one/aliangboard with `kubectl apply -f https://raw.githubusercontent.com/aliang-one/aliangboard/main/deployment.yaml`, read the NodePort, and confirm the panel lists the cluster's namespaces.

Caveat. The panel gets whatever RBAC the manifest grants, so read the permissions before applying to production.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for aliang-one/aliangboard and "Deploy a Kubernetes web panel into your cluster"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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