Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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Use when working with Azure Iot Hub — azure IoT Hub management including device registry, device twins, message routing, endpoints, jobs, and IoT Edge deployments. Covers device connectivity status, message throughput, routing health, quota utilization, and Edge module monitoring.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Monitor and manage Azure IoT Hub device fleet and messaging.
Always discover hub configuration and device count before querying twins or metrics.
#!/bin/bash
HUB_NAME="${AZURE_IOT_HUB_NAME}"
RG="${AZURE_RESOURCE_GROUP}"
echo "=== IoT Hub Info ==="
az iot hub show --name "$HUB_NAME" --resource-group "$RG" \
--query '{Name:name,SKU:sku.name,Tier:sku.tier,Units:sku.capacity,Location:location,State:properties.state}' \
--output json | jq '.'
echo ""
echo "=== Quota & Usage ==="
az iot hub show-quota-metrics --name "$HUB_NAME" --resource-group "$RG" \
--output table
echo ""
echo "=== Endpoints ==="
az iot hub routing-endpoint list --hub-name "$HUB_NAME" --resource-group "$RG" \
--output table 2>/dev/null || echo "No custom routing endpoints"
echo ""
echo "=== Message Routes ==="
az iot hub route list --hub-name "$HUB_NAME" --resource-group "$RG" \
--query '[].{Name:name,Source:source,Condition:condition,Endpoint:endpointNames[0],Enabled:isEnabled}' \
--output table
echo ""
echo "=== Device Summary ==="
total=$(az iot hub device-identity list --hub-name "$HUB_NAME" --query 'length(@)' --output tsv 2>/dev/null)
echo "Total devices: ${total:-check with query}"
Phase 1 outputs: Hub config, quotas, endpoints, routes, device count
#!/bin/bash
echo "=== Device Connection Status ==="
az iot hub query --hub-name "$HUB_NAME" \
--query-command "SELECT COUNT() AS total FROM devices WHERE connectionState = 'Connected'" \
--output json 2>/dev/null | jq '.[0].total // "Run query in portal"'
echo ""
echo "=== Edge Deployments ==="
az iot edge deployment list --hub-name "$HUB_NAME" \
--query '[].{ID:id,Priority:priority,Target:targetCondition,Applied:systemMetrics.results.appliedCount}' \
--output table 2>/dev/null || echo "No Edge deployments"
echo ""
echo "=== IoT Hub Metrics (24h) ==="
for metric in "d2c.telemetry.ingress.success" "c2d.commands.egress.complete.success" "connectedDeviceCount" "devices.totalDevices"; do
val=$(az monitor metrics list --resource "/subscriptions/${AZURE_SUBSCRIPTION_ID}/resourceGroups/${RG}/providers/Microsoft.Devices/IotHubs/${HUB_NAME}" \
--metric "$metric" --interval PT1H --start-time "$(date -u -v-1d +%Y-%m-%dT%H:%M:%SZ 2>/dev/null || date -u -d '1 day ago' +%Y-%m-%dT%H:%M:%SZ)" \
--query 'value[0].timeseries[0].data[-1].total' --output tsv 2>/dev/null)
echo "$metric: ${val:-N/A}"
done
echo ""
echo "=== Failed Routes ==="
az monitor metrics list --resource "/subscriptions/${AZURE_SUBSCRIPTION_ID}/resourceGroups/${RG}/providers/Microsoft.Devices/IotHubs/${HUB_NAME}" \
--metric "d2c.telemetry.egress.dropped" --interval PT24H \
--query 'value[0].timeseries[0].data[-1].total' --output tsv 2>/dev/null | \
xargs -I{} echo "Dropped messages (24h): {}"
AZURE IOT HUB STATUS
====================
Hub: {name} ({sku}, {units} units)
Location: {location} | State: {state}
Devices: {total} | Connected: {count}
Messages (24h): {ingress} ingress, {egress} egress
Dropped Messages: {count}
Edge Deployments: {count}
Quota: {used}/{max} messages/day
Issues: {list_of_warnings}
--help output.| Shortcut | Counter | Why |
|---|---|---|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
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Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
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Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.
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Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
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Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
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Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.
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