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

Output

The command produces one timestamped castai-debug-*.tar.gz archive plus a summary that identifies failed collection steps. Before it leaves the cluster, an operator reviews the archive for credentials, workload environment values, customer identifiers, and internal network names; remove or redact those entries and retain the review decision with the support case.

Examples

During an autoscaler incident, collect the archive, verify that summary.txt records the affected cluster and UTC time, then inspect policies.json and agent logs locally. Attach only the redacted archive to the support case and include the incident window and the failed component name rather than pasting raw logs into a public channel.

Resources

• CAST AI Support
• CAST AI Status
• Component Troubleshooting

Next Steps

For rate limit handling, see castai-rate-limits.