How to Monitor kubecolor with Vigilmon

kubecolor is a drop-in replacement for kubectl that colorizes terminal output to make it easier to scan large result sets, spot unhealthy pod states at a glance, and distinguish resource types without mentally parsing plain text. Teams configure it as a kubectl alias so it is used transparently in every daily cluster interaction. When the Kubernetes API server becomes degraded, RBAC permissions narrow, or the cluster state kubecolor renders becomes inconsistent, kubecolor still produces output — but it may be colorizing stale, partial, or incorrect data without any visual indication of the underlying infrastructure problem.

In this tutorial you'll set up uptime monitoring for the Kubernetes API layer that kubecolor depends on using Vigilmon — free tier, no credit card required.

Why kubecolor's dependencies need external monitoring

kubecolor is a formatting proxy: it calls kubectl under the hood and colorizes the output. Its failure modes are entirely those of kubectl and the Kubernetes API:

• Kubernetes API server degradation — kubecolor may render 200 lines of colorized output while the API server is serving stale cached data; the colorization succeeds but the data is wrong, and there is no visual indicator of staleness
• kubectl version skew — if the kubectl binary kubecolor wraps is significantly older than the API server version, certain API calls return deprecation warnings or empty results that kubecolor colorizes and presents as if they are authoritative
• RBAC permission reduction — when a user's ClusterRole loses access to certain resource types, kubecolor renders empty tables with column headers and exit code 0, which looks identical to a namespace with no resources
• kubeconfig credential expiry — expired OIDC tokens or client certificates cause kubectl to return authorization errors; kubecolor colorizes the error in red but does not prevent the user from believing their previous output was still current
• Shell alias misconfiguration — if the kubectl alias in .bashrc or .zshrc is updated to point to a missing kubecolor binary after an upgrade, all kubectl commands silently fall back to uncolorized output or fail entirely

External monitoring from Vigilmon watches the Kubernetes API server endpoints that kubecolor's kubectl calls hit, alerting you before degraded API responses lead engineers to act on incorrect data.

What you'll need

• A Kubernetes cluster with kubecolor installed (aliased as kubectl)
• kubectl access with your standard user permissions
• A node or LoadBalancer endpoint for the health check
• A free Vigilmon account

Step 1: Expose a health endpoint for kubecolor's API dependencies

kubecolor has no HTTP interface. Deploy a health exporter that tests the same kubectl operations kubecolor typically wraps — pod listing, resource status, and get operations across namespaces:

# kubecolor-health.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: kubecolor-health
  namespace: observability
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: kubecolor-health-reader
rules:
  - apiGroups: [""]
    resources: ["pods", "services", "nodes", "namespaces", "events"]
    verbs: ["get", "list"]
  - apiGroups: ["apps"]
    resources: ["deployments", "replicasets", "daemonsets", "statefulsets"]
    verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kubecolor-health-binding
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kubecolor-health-reader
subjects:
  - kind: ServiceAccount
    name: kubecolor-health
    namespace: observability
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kubecolor-health
  namespace: observability
spec:
  replicas: 1
  selector:
    matchLabels:
      app: kubecolor-health
  template:
    metadata:
      labels:
        app: kubecolor-health
    spec:
      serviceAccountName: kubecolor-health
      containers:
        - name: checker
          image: bitnami/kubectl:latest
          command:
            - /bin/sh
            - -c
            - |
              while true; do
                ERRORS=""
                # Test pod listing (most common kubecolor use case)
                if ! kubectl get pods --all-namespaces --no-headers > /tmp/pods 2>/tmp/err1; then
                  ERRORS="$ERRORS pod_list=failed"
                else
                  POD_COUNT=$(wc -l < /tmp/pods)
                fi
                # Test node listing
                if ! kubectl get nodes --no-headers > /tmp/nodes 2>/tmp/err2; then
                  ERRORS="$ERRORS node_list=failed"
                else
                  NODE_COUNT=$(wc -l < /tmp/nodes)
                fi
                # Test deployment listing
                if ! kubectl get deployments --all-namespaces --no-headers > /dev/null 2>/tmp/err3; then
                  ERRORS="$ERRORS deploy_list=failed"
                fi

                if [ -z "$ERRORS" ]; then
                  echo "healthy pods=$POD_COUNT nodes=$NODE_COUNT" > /tmp/status
                else
                  echo "unhealthy$ERRORS" > /tmp/status
                fi
                sleep 30
              done
        - name: health-server
          image: busybox:latest
          command:
            - /bin/sh
            - -c
            - |
              while true; do
                STATUS=$(cat /tmp/status 2>/dev/null || echo "starting")
                if echo "$STATUS" | grep -q "^healthy"; then
                  printf "HTTP/1.1 200 OK\r\nContent-Type: text/plain\r\nContent-Length: ${#STATUS}\r\n\r\n$STATUS" | nc -l -p 8080 -q 1
                else
                  printf "HTTP/1.1 503 Service Unavailable\r\nContent-Type: text/plain\r\nContent-Length: ${#STATUS}\r\n\r\n$STATUS" | nc -l -p 8080 -q 1
                fi
              done
          ports:
            - containerPort: 8080
          volumeMounts:
            - name: status
              mountPath: /tmp
      volumes:
        - name: status
          emptyDir: {}
---
apiVersion: v1
kind: Service
metadata:
  name: kubecolor-health
  namespace: observability
spec:
  type: NodePort
  selector:
    app: kubecolor-health
  ports:
    - name: health
      port: 8080
      targetPort: 8080
      nodePort: 30084

kubectl apply -f kubecolor-health.yaml

# Verify
NODE_IP=$(kubectl get nodes -o jsonpath='{.items[0].status.addresses[?(@.type=="InternalIP")].address}')
curl http://$NODE_IP:30084/
# healthy pods=87 nodes=3

Step 2: Verify kubecolor's kubectl binary and alias are intact

Before setting up monitoring, confirm the kubecolor binary and alias are correctly configured:

#!/bin/bash
# check-kubecolor-setup.sh

echo "=== kubecolor binary ==="
if command -v kubecolor > /dev/null 2>&1; then
  kubecolor version --client 2>&1 | head -3
  echo "OK: kubecolor binary found at $(which kubecolor)"
else
  echo "MISSING: kubecolor not in PATH"
fi

echo ""
echo "=== kubectl alias ==="
if alias kubectl 2>/dev/null | grep -q kubecolor; then
  echo "OK: kubectl aliased to kubecolor"
else
  echo "WARNING: kubectl not aliased to kubecolor"
fi

echo ""
echo "=== kubectl API access ==="
kubectl get pods --all-namespaces --no-headers | wc -l | xargs echo "Pods visible:"
kubectl get nodes --no-headers | wc -l | xargs echo "Nodes visible:"

echo ""
echo "=== kubectl version skew ==="
kubectl version 2>&1 | grep -E "Client|Server"

chmod +x check-kubecolor-setup.sh
./check-kubecolor-setup.sh

Step 3: Set up HTTP monitoring in Vigilmon

With the health endpoint running, add it to Vigilmon:

1. Log in to vigilmon.online and go to Monitors → New Monitor
2. Choose HTTP / HTTPS
3. Add monitors for kubecolor's Kubernetes API dependencies:

| Monitor name | URL | Expected status | |---|---|---| | kubecolor API health | http://your-node-ip:30084/ | 200 | | Kubernetes API livez | https://your-api-server:6443/livez | 200 | | Kubernetes API readyz | https://your-api-server:6443/readyz | 200 | | etcd health (if exposed) | https://your-api-server:2379/health | 200 |

4. Set the check interval to 1 minute
5. Under Expected response, set status code 200 and match healthy in the response body for the health endpoint
6. Add your cluster's CA certificate under TLS settings for API server endpoints
7. Save each monitor

Step 4: Add a TCP monitor for the Kubernetes API port

Add a TCP monitor to detect connectivity failures independently of the HTTP health check:

1. Go to Monitors → New Monitor
2. Choose TCP Port
3. Enter your Kubernetes API server hostname and port 6443
4. Set the check interval to 1 minute
5. Save the monitor

TCP failures on port 6443 that do not coincide with cluster-level alerts typically point to network policy changes or security group modifications rather than cluster outages.

Step 5: Configure alert channels

When kubecolor's underlying API layer degrades, engineers continue getting colorized output but the data may be stale, partial, or filtered by narrowed RBAC. Alert the team so they can verify the accuracy of what they are seeing before making operational decisions.

Email alerts

1. Go to Alert Channels → Add Channel → Email
2. Enter your platform engineering and SRE addresses
3. Assign to all kubecolor monitors

Webhook alerts

1. Go to Alert Channels → Add Channel → Webhook
2. Enter your incident management webhook URL
3. Sample Vigilmon webhook payload:

{
  "monitor_name": "kubecolor API health",
  "status": "down",
  "url": "http://your-node-ip:30084/",
  "started_at": "2024-01-15T11:45:00Z",
  "duration_seconds": 120
}

Route this to a runbook that tells engineers to treat their kubectl output as potentially incomplete and to cross-reference with the Kubernetes API directly until the health endpoint recovers.

Step 6: Correlate Vigilmon alerts with kubecolor diagnostics

When you receive a kubecolor health downtime alert:

# 1. Test raw kubectl access (bypass kubecolor alias if needed)
/usr/bin/kubectl get pods --all-namespaces 2>&1 | head -20
# or
command kubectl get pods --all-namespaces 2>&1 | head -20

# 2. Check Kubernetes API server health directly
curl -k https://your-api-server:6443/livez
curl -k https://your-api-server:6443/readyz

# 3. Verify pod and node counts are reasonable
kubectl get pods --all-namespaces --no-headers | wc -l
kubectl get nodes --no-headers

# 4. Check for RBAC permission reduction
kubectl auth can-i list pods --all-namespaces
kubectl auth can-i list nodes
kubectl auth can-i list deployments --all-namespaces

# 5. Inspect the health checker pod
kubectl logs -n observability -l app=kubecolor-health -c checker --tail=20

# 6. Verify kubectl version compatibility
kubectl version

# 7. Check if kubecolor binary is intact
kubecolor version --client 2>&1

# 8. Test a simple get to check for data staleness
kubectl get nodes -o wide

If the health check returns pod_list=failed but node_list=failed does not appear, a targeted RBAC policy change removed pod listing permissions rather than a cluster-wide outage.

Step 7: Create a status page for kubectl API access

Give your engineering team visibility into whether the kubectl API calls kubecolor wraps are currently reliable:

1. Go to Status Pages → New Status Page
2. Name it: "kubectl / kubecolor API Access"
3. Add your kubecolor health monitor, API livez, and API readyz monitors
4. Share the URL with all engineers who use kubectl daily

When this status page shows degraded, engineers know to treat their colorized kubectl output with caution rather than acting on potentially stale data.

Summary

| What you set up | What it catches | |---|---| | HTTP monitor on health endpoint | Pod/node/deployment listing failures, RBAC narrowing, API unavailability | | HTTP monitor on livez/readyz | API server degradation before kubecolor output becomes unreliable | | TCP monitor on port 6443 | Network path failures to the Kubernetes API server | | Email + webhook alert channels | Immediate notification when kubectl output may be stale or incomplete | | Status page | Team-wide visibility into kubectl API reliability |

kubecolor makes Kubernetes output easier to parse, but it also makes unreliable data look polished. External monitoring of the underlying API is the only way to know whether the colorful table you are reading reflects the actual current cluster state.

Get started at vigilmon.online — free tier, no credit card required.