CAST AI Debug Bundle

Overview

Collect all CAST AI component logs, cluster state, and configuration into a single archive for troubleshooting or support tickets. The bundle captures agent status, Helm releases, autoscaler policies, node inventory, and recent events.

Prerequisites

• kubectl

  access to the cluster running CAST AI

• CASTAI_API_KEY

  and

  CASTAI_CLUSTER_ID

  configured

• helm

  installed

Instructions

Step 1: Run the Debug Bundle Script

#!/bin/bash
# castai-debug-bundle.sh
set -euo pipefail

BUNDLE_DIR="castai-debug-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$BUNDLE_DIR"

echo "=== CAST AI Debug Bundle ===" | tee "$BUNDLE_DIR/summary.txt"
echo "Generated: $(date -u)" | tee -a "$BUNDLE_DIR/summary.txt"
echo "Cluster ID: ${CASTAI_CLUSTER_ID:-unknown}" | tee -a "$BUNDLE_DIR/summary.txt"

# 1. Helm releases
echo "--- Helm Releases ---" >> "$BUNDLE_DIR/summary.txt"
helm list -n castai-agent -o yaml > "$BUNDLE_DIR/helm-releases.yaml" 2>&1

# 2. Pod status
echo "--- Pod Status ---" >> "$BUNDLE_DIR/summary.txt"
kubectl get pods -n castai-agent -o wide > "$BUNDLE_DIR/pod-status.txt" 2>&1

# 3. Agent logs (last 200 lines each)
for deploy in castai-agent cluster-controller castai-evictor castai-spot-handler castai-workload-autoscaler; do
  kubectl logs -n castai-agent "deployment/$deploy" --tail=200 \
    > "$BUNDLE_DIR/${deploy}-logs.txt" 2>&1 || echo "Not found: $deploy" >> "$BUNDLE_DIR/summary.txt"
done

# 4. Cluster events (CAST AI related)
kubectl get events -n castai-agent --sort-by='.lastTimestamp' \
  > "$BUNDLE_DIR/events.txt" 2>&1

# 5. Node inventory
kubectl get nodes -o wide > "$BUNDLE_DIR/nodes.txt" 2>&1

# 6. API cluster status (redact API key from output)
if [ -n "${CASTAI_API_KEY:-}" ] && [ -n "${CASTAI_CLUSTER_ID:-}" ]; then
  curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
    "https://api.cast.ai/v1/kubernetes/external-clusters/${CASTAI_CLUSTER_ID}" \
    | jq '{name, status, agentStatus, providerType, createdAt}' \
    > "$BUNDLE_DIR/cluster-status.json" 2>&1

  curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
    "https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
    > "$BUNDLE_DIR/policies.json" 2>&1
fi

# 7. RBAC check
kubectl get clusterrole -l app.kubernetes.io/managed-by=castai \
  > "$BUNDLE_DIR/rbac.txt" 2>&1

# 8. Package bundle
tar -czf "$BUNDLE_DIR.tar.gz" "$BUNDLE_DIR"
rm -rf "$BUNDLE_DIR"
echo "Bundle created: $BUNDLE_DIR.tar.gz"

Step 2: Review Before Sharing

Safe to include:

• Pod logs (no secrets in CAST AI agent logs)
• Helm release metadata
• Node names and instance types
• Autoscaler policies
• Cluster events

Redact before sharing:

• API keys (the script never writes them)
• Custom environment variables
• Internal hostnames if sensitive

Step 3: Submit to CAST AI Support

1. Generate bundle:

   bash castai-debug-bundle.sh

2. Attach

   castai-debug-*.tar.gz

   to support ticket at support.cast.ai
3. Include your cluster ID and a description of the issue

Error Handling

kubectl

Resources

• CAST AI Support
• CAST AI Status
• Component Troubleshooting

Next Steps

For rate limit handling, see

castai-rate-limits