Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Azure Container Instances — azure Container Instances management covering container group inventory, container status and restart counts, CPU and memory utilization, networking configuration, log retrieval, and GPU allocation tracking. Use for ACI workload monitoring and troubleshooting.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Analyze Azure Container Instances groups, resource utilization, and container health.
#!/bin/bash
echo "=== Container Groups Inventory ==="
az container list --output json \
| jq -r '.[] | "\(.name)\t\(.resourceGroup)\t\(.provisioningState)\t\(.osType)\t\(.location)\t\(.ipAddress.ip // "none")"' \
| column -t | head -20
echo ""
echo "=== Container Details ==="
for CG in $(az container list --query '[].name' -o tsv); do
RG=$(az container show --name "$CG" --query 'resourceGroup' -o tsv 2>/dev/null)
az container show --name "$CG" --resource-group "$RG" --output json \
| jq '{name, state: .instanceView.state, restartCount: .containers[0].instanceView.restartCount, containers: [.containers[] | {name, image: .image, cpu: .resources.requests.cpu, memoryGB: .resources.requests.memoryInGB, state: .instanceView.currentState.state}]}' 2>/dev/null
done | head -30
echo ""
echo "=== Networking ==="
az container list --output json \
| jq -r '.[] | "\(.name)\t\(.ipAddress.type // "none")\t\(.ipAddress.ip // "none")\t\(.ipAddress.ports[]? | "\(.port)/\(.protocol)" // "none")"' \
| column -t | head -20
echo ""
echo "=== Volume Mounts ==="
az container list --output json \
| jq '.[] | select(.volumes != null) | {name, volumes: [.volumes[] | {name, type: (if .azureFile != null then "azureFile" elif .gitRepo != null then "gitRepo" elif .emptyDir != null then "emptyDir" else "secret" end)}]}' \
| head -20
#!/bin/bash
echo "=== Container Group Status ==="
for CG in $(az container list --query '[].name' -o tsv); do
RG=$(az container show --name "$CG" --query 'resourceGroup' -o tsv 2>/dev/null)
az container show --name "$CG" --resource-group "$RG" --output json \
| jq '{
name,
state: .instanceView.state,
events: [.instanceView.events[]? | {type, message: .message[0:80], timestamp: .firstTimestamp}] | last(3),
containers: [.containers[] | {
name,
state: .instanceView.currentState.state,
restarts: .instanceView.restartCount,
exitCode: .instanceView.currentState.exitCode
}]
}' 2>/dev/null
done | head -40
echo ""
echo "=== Resource Utilization ==="
for CG in $(az container list --query '[].name' -o tsv); do
RG=$(az container show --name "$CG" --query 'resourceGroup' -o tsv 2>/dev/null)
echo "--- ${CG} ---"
az monitor metrics list --resource "/subscriptions/$(az account show --query id -o tsv)/resourceGroups/${RG}/providers/Microsoft.ContainerInstance/containerGroups/${CG}" \
--metric "CpuUsage,MemoryUsage" --interval PT1H \
--aggregation Average Maximum \
--query "value[].{metric:name.value, avg:timeseries[0].data[-1].average, max:timeseries[0].data[-1].maximum}" \
-o table 2>/dev/null
done
echo ""
echo "=== Recent Container Logs ==="
for CG in $(az container list --query '[].name' -o tsv | head -5); do
RG=$(az container show --name "$CG" --query 'resourceGroup' -o tsv 2>/dev/null)
CONTAINER=$(az container show --name "$CG" --resource-group "$RG" --query 'containers[0].name' -o tsv 2>/dev/null)
echo "--- ${CG}/${CONTAINER} ---"
az container logs --name "$CG" --resource-group "$RG" --container-name "$CONTAINER" --tail 5 2>/dev/null
done
echo ""
echo "=== GPU Allocations ==="
az container list --output json \
| jq '.[] | select(.containers[].resources.requests.gpu != null) | {name, gpu: .containers[].resources.requests.gpu}' 2>/dev/null
AZURE CONTAINER INSTANCES ANALYSIS
====================================
Container Group State Containers CPU Memory Restarts IP
──────────────────────────────────────────────────────────────────────
batch-processor Running 2 2.0 4.0GB 0 10.0.1.5
web-scraper Running 1 1.0 1.5GB 3 Public
ml-inference Succeeded 1 4.0 8.0GB 0 none
Groups: 3 | Containers: 4 | GPU: 1 with K80
Restart Issues: 1 group with 3+ restarts
az container list, show, logs, and az monitor metrics--tail to prevent unbounded log output--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 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。