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 Apache Pinot — apache Pinot management — monitor cluster health, tables, segments, ingestion jobs, query performance, and controller/broker/server status. Use when debugging ingestion issues, inspecting segment distribution, optimizing query latency, or auditing cluster capacity.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Manage and monitor Apache Pinot cluster — tables, segments, ingestion, queries, and cluster health.
#!/bin/bash
PINOT_API="${PINOT_CONTROLLER_URL:-http://localhost:9000}"
echo "=== Cluster Info ==="
curl -s "$PINOT_API/cluster/info" | jq '.'
echo ""
echo "=== Tables ==="
curl -s "$PINOT_API/tables" \
| jq -r '.tables[]' | head -15
echo ""
echo "=== Table Details ==="
for TABLE in $(curl -s "$PINOT_API/tables" | jq -r '.tables[:10][]'); do
SIZE=$(curl -s "$PINOT_API/tables/$TABLE/size?detailed=false" | jq -r '.estimatedSizeInBytes // 0')
SEGMENTS=$(curl -s "$PINOT_API/segments/$TABLE" | jq 'length')
echo -e "$TABLE\t$SEGMENTS segments\t$SIZE bytes"
done | column -t
echo ""
echo "=== Instances ==="
curl -s "$PINOT_API/instances" \
| jq -r '.instances[] | [.instanceName, .host, .port, .enabled] | @tsv' | column -t | head -10
echo ""
echo "=== Tenants ==="
curl -s "$PINOT_API/tenants" \
| jq -r '{brokerTenants: .BROKER_TENANTS, serverTenants: .SERVER_TENANTS}'
#!/bin/bash
PINOT_API="${PINOT_CONTROLLER_URL:-http://localhost:9000}"
echo "=== Segment Status ==="
curl -s "$PINOT_API/segments/$PINOT_TABLE/metadata" \
| jq -r 'to_entries[:10][] | [.key, .value.segment.totalDocs, .value.segment.startTime, .value.segment.endTime] | @tsv' | column -t
echo ""
echo "=== Table Ideal State ==="
curl -s "$PINOT_API/tables/$PINOT_TABLE/idealstate" \
| jq '{numSegments: (.record.mapFields | length), replicationFactor: (.record.simpleFields.REPLICATION // "N/A")}'
echo ""
echo "=== Running Tasks ==="
curl -s "$PINOT_API/tasks/schedulerJobDetails" \
| jq -r 'to_entries[] | [.key, .value] | @tsv' | column -t | head -10
echo ""
echo "=== Query Performance (sample) ==="
curl -s -X POST "$PINOT_API/sql" \
-H "Content-Type: application/json" \
-d "{\"sql\": \"SELECT count(*) FROM $PINOT_TABLE LIMIT 1\", \"trace\": true}" \
| jq '{numDocsScanned: .numDocsScanned, totalDocs: .totalDocs, timeUsedMs: .timeUsedMs, numSegmentsQueried: .numSegmentsQueried}'
echo ""
echo "=== Segment Reload Status ==="
curl -s "$PINOT_API/segments/$PINOT_TABLE/reload/status" \
| jq '.'
echo ""
echo "=== Table Index Configuration ==="
curl -s "$PINOT_API/tables/$PINOT_TABLE" \
| jq '.OFFLINE.tableIndexConfig // .REALTIME.tableIndexConfig | {loadMode: .loadMode, invertedIndexColumns: .invertedIndexColumns, sortedColumn: .sortedColumn, bloomFilterColumns: .bloomFilterColumns}'
CLUSTER
Name: <cluster-name>
TABLES
Name Segments Size
<table-name> <n> <bytes>
INSTANCES
Name Host Port Enabled
<instance> <host> <port> true
SEGMENT STATUS
Segment Total Docs Start Time End Time
<segment-name> <n> <time> <time>
QUERY PERFORMANCE
Docs Scanned: <n>
Total Docs: <n>
Time Used: <ms>ms
Segments Queried: <n>
--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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.