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 Better Stack — better Stack (formerly Logtail) for log search, uptime monitoring, incident management, on-call scheduling, and status page management. Covers log querying, monitor configuration, heartbeat checks, escalation policies, and team management. Use when searching logs, managing uptime monitors, handling incidents, or configuring on-call schedules via Better Stack API.
インストール方法を見る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。
Manage logs, uptime monitoring, and incidents using the Better Stack API.
Better Stack API uses Bearer token — injected by connection. Never hardcode tokens.
https://uptime.betterstack.com/api/v2/https://logs.betterstack.com/api/v2/BETTERSTACK_BASE_URL.jq to extract relevant monitor and log fields#!/bin/bash
bs_uptime_api() {
local method="$1"
local endpoint="$2"
local data="${3:-}"
if [ -n "$data" ]; then
curl -s -X "$method" \
-H "Authorization: Bearer ${BETTERSTACK_API_TOKEN}" \
-H "Content-Type: application/json" \
"https://uptime.betterstack.com/api/v2${endpoint}" \
-d "$data"
else
curl -s -X "$method" \
-H "Authorization: Bearer ${BETTERSTACK_API_TOKEN}" \
"https://uptime.betterstack.com/api/v2${endpoint}"
fi
}
bs_logs_api() {
local method="$1"
local endpoint="$2"
local data="${3:-}"
if [ -n "$data" ]; then
curl -s -X "$method" \
-H "Authorization: Bearer ${BETTERSTACK_API_TOKEN}" \
-H "Content-Type: application/json" \
"https://logs.betterstack.com/api/v2${endpoint}" \
-d "$data"
else
curl -s -X "$method" \
-H "Authorization: Bearer ${BETTERSTACK_API_TOKEN}" \
"https://logs.betterstack.com/api/v2${endpoint}"
fi
}
{
bs_uptime_api GET "/monitors" &
bs_uptime_api GET "/incidents" &
bs_uptime_api GET "/heartbeats" &
bs_uptime_api GET "/on-call-calendars" &
}
wait
NEVER assume monitor IDs, source names, or team IDs. ALWAYS discover first.
#!/bin/bash
echo "=== Uptime Monitors ==="
bs_uptime_api GET "/monitors" \
| jq -r '.data[] | "\(.id)\t\(.attributes.monitor_type)\t\(.attributes.status)\t\(.attributes.url // .attributes.ip)"' | head -20
echo ""
echo "=== Log Sources ==="
bs_logs_api GET "/sources" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)\t\(.attributes.platform)"' | head -15
echo ""
echo "=== On-Call Calendars ==="
bs_uptime_api GET "/on-call-calendars" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)"' | head -10
echo ""
echo "=== Monitor Groups ==="
bs_uptime_api GET "/monitor-groups" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)"' | head -10
#!/bin/bash
echo "=== Recent Logs ==="
bs_logs_api POST "/query" \
'{"query":"level:error","from":"now-1h","to":"now","batch_size":20}' \
| jq -r '.data[:20][] | "\(.attributes.timestamp[0:19])\t\(.attributes.level // "info")\t\(.attributes.message[0:80])"'
echo ""
echo "=== Log Volume by Source ==="
bs_logs_api GET "/sources" \
| jq -r '.data[] | "\(.attributes.name)\t\(.attributes.logs_count // 0) total logs\t\(.attributes.platform)"' | head -15
#!/bin/bash
echo "=== Monitor Status Overview ==="
MONITORS=$(bs_uptime_api GET "/monitors")
echo "$MONITORS" | jq '{
total: (.data | length),
up: [.data[] | select(.attributes.status == "up")] | length,
down: [.data[] | select(.attributes.status == "down")] | length,
paused: [.data[] | select(.attributes.paused == true)] | length
}'
echo ""
echo "=== Down Monitors ==="
echo "$MONITORS" | jq -r '.data[] | select(.attributes.status == "down") | "\(.attributes.pronounceable_name)\t\(.attributes.url // .attributes.ip)\tdown_since:\(.attributes.last_checked_at)"'
echo ""
echo "=== Monitor Response Times ==="
echo "$MONITORS" | jq -r '.data[] | select(.attributes.status == "up") | "\(.attributes.pronounceable_name)\t\(.attributes.last_response_time // "N/A")ms"' \
| sort -t$'\t' -k2 -rn | head -15
#!/bin/bash
echo "=== Open Incidents ==="
bs_uptime_api GET "/incidents?per_page=20" \
| jq -r '.data[] | select(.attributes.resolved_at == null) | "\(.id)\t\(.attributes.started_at[0:16])\t\(.attributes.cause)\t\(.attributes.name[0:50])"' | head -15
echo ""
echo "=== Recent Resolved Incidents ==="
bs_uptime_api GET "/incidents?per_page=20" \
| jq -r '.data[] | select(.attributes.resolved_at != null) | "\(.attributes.resolved_at[0:10])\t\(.attributes.duration)s\t\(.attributes.name[0:50])"' | head -10
echo ""
echo "=== Incident Summary ==="
bs_uptime_api GET "/incidents?per_page=100" \
| jq '{
total: (.data | length),
open: [.data[] | select(.attributes.resolved_at == null)] | length,
resolved: [.data[] | select(.attributes.resolved_at != null)] | length,
avg_duration_s: ([.data[] | select(.attributes.duration != null) | .attributes.duration] | if length > 0 then add / length | round else 0 end)
}'
#!/bin/bash
echo "=== Heartbeat Monitors ==="
bs_uptime_api GET "/heartbeats" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)\t\(.attributes.status)\t\(.attributes.period)s interval"' | head -15
echo ""
echo "=== Failing Heartbeats ==="
bs_uptime_api GET "/heartbeats" \
| jq -r '.data[] | select(.attributes.status == "down") | "\(.attributes.name)\tlast_beat:\(.attributes.last_checked_at // "never")"'
#!/bin/bash
echo "=== On-Call Calendars ==="
bs_uptime_api GET "/on-call-calendars" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)\t\(.attributes.default_calendar)"'
echo ""
echo "=== Escalation Policies ==="
bs_uptime_api GET "/escalation-policies" \
| jq -r '.data[] | "\(.id)\t\(.attributes.name)\tsteps:\(.attributes.steps | length)"' | head -10
echo ""
echo "=== Policy Details ==="
bs_uptime_api GET "/escalation-policies" \
| jq -r '.data[] | "\(.attributes.name):", (.attributes.steps[] | " Step \(.step_number): wait \(.wait_before)s -> \(.targets | length) targets")'
Present results as a structured report:
Managing Better Stack Report
════════════════════════════
Resources discovered: [count]
Resource Status Key Metric Issues
──────────────────────────────────────────────
[name] [ok/warn] [value] [findings]
Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
Target ≤50 lines of output. Use tables for multi-resource comparisons.
| 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 |
status, expected_status_code, keyword, keyword_absence, ping, tcp, udp, smtp, pop, imapper_page and cursor-based pagination — check pagination.next for more pages/status-pages endpoint — link monitors to status page resources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。