Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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。
Set up alerting rules, configure on-call rotations, and manage incident response workflows.
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。
Configure effective alerting and on-call management for production systems.
# Severity levels
critical:
- Service completely down
- Data loss imminent
- Security breach
response: Immediate page, wake people up
high:
- Service degraded significantly
- Error rate above SLO
- Capacity near limit
response: Page during business hours, notify after hours
medium:
- Performance degradation
- Non-critical component failure
- Warning thresholds exceeded
response: Notify via Slack, review next business day
low:
- Informational alerts
- Capacity planning triggers
- Routine maintenance needed
response: Email notification, weekly review
# Good alert characteristics
alerts:
actionable:
- Every alert should require human action
- Include runbook links
- Clear remediation steps
relevant:
- Alert on symptoms, not causes
- Focus on user impact
- Avoid alerting on expected behavior
timely:
- Appropriate thresholds
- Suitable evaluation windows
- Account for normal variance
unique:
- No duplicate alerts
- Proper alert grouping
- Clear ownership
# prometheus/rules/alerts.yml
groups:
- name: service_alerts
rules:
# High-level service health
- alert: ServiceDown
expr: up{job="myapp"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Service {{ $labels.instance }} is down"
description: "{{ $labels.job }} on {{ $labels.instance }} has been down for more than 1 minute."
runbook_url: "https://wiki.example.com/runbooks/service-down"
# Error rate alert
- alert: HighErrorRate
expr: |
sum(rate(http_requests_total{status=~"5.."}[5m])) by (service)
/ sum(rate(http_requests_total[5m])) by (service) > 0.05
for: 5m
labels:
severity: critical
annotations:
summary: "High error rate for {{ $labels.service }}"
description: "Error rate is {{ $value | humanizePercentage }} for the last 5 minutes"
# Latency alert (SLO-based)
- alert: HighLatency
expr: |
histogram_quantile(0.95,
sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service)
) > 0.5
for: 5m
labels:
severity: high
annotations:
summary: "P95 latency above 500ms for {{ $labels.service }}"
# alertmanager.yml
global:
resolve_timeout: 5m
slack_api_url: 'https://hooks.slack.com/services/xxx'
pagerduty_url: 'https://events.pagerduty.com/v2/enqueue'
templates:
- '/etc/alertmanager/templates/*.tmpl'
route:
receiver: 'default-receiver'
group_by: ['alertname', 'service']
group_wait: 30s
group_interval: 5m
repeat_interval: 4h
routes:
# Critical alerts go to PagerDuty
- match:
severity: critical
receiver: 'pagerduty-critical'
group_wait: 0s
repeat_interval: 1h
# High severity during business hours
- match:
severity: high
receiver: 'slack-high'
active_time_intervals:
- business-hours
# Route by team
- match_re:
team: platform.*
receiver: 'platform-team'
receivers:
- name: 'default-receiver'
slack_configs:
- channel: '#alerts'
send_resolved: true
- name: 'pagerduty-critical'
pagerduty_configs:
- service_key: 'xxx'
severity: critical
description: '{{ .CommonAnnotations.summary }}'
details:
firing: '{{ template "pagerduty.firing" . }}'
- name: 'slack-high'
slack_configs:
- channel: '#alerts-high'
title: '{{ .CommonAnnotations.summary }}'
text: '{{ .CommonAnnotations.description }}'
actions:
- type: button
text: 'Runbook'
url: '{{ .CommonAnnotations.runbook_url }}'
- type: button
text: 'Dashboard'
url: '{{ .CommonAnnotations.dashboard_url }}'
- name: 'platform-team'
slack_configs:
- channel: '#platform-alerts'
time_intervals:
- name: business-hours
time_intervals:
- weekdays: ['monday:friday']
times:
- start_time: '09:00'
end_time: '17:00'
inhibit_rules:
- source_match:
severity: critical
target_match:
severity: high
equal: ['service']
# Terraform example
resource "pagerduty_service" "myapp" {
name = "MyApp Production"
description = "Production application service"
escala
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
Automate 21risk tasks via Rube MCP (Composio). Always search tools first for current schemas.
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。
Automate 2chat tasks via Rube MCP (Composio). Always search tools first for current schemas.
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。
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
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。
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
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。
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nich
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。
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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。