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。
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"
escalation_policy = pagerduty_escalation_policy.default.id
alert_creation = "create_alerts_and_incidents"
auto_resolve_timeout = 14400 # 4 hours
acknowledgement_timeout = 600 # 10 minutes
incident_urgency_rule {
type = "use_support_hours"
during_support_hours {
type = "constant"
urgency = "high"
}
outside_support_hours {
type = "constant"
urgency = "low"
}
}
}
resource "pagerduty_escalation_policy" "default" {
name = "Default Escalation"
num_loops = 2
rule {
escalation_delay_in_minutes = 10
target {
type = "schedule_reference"
id = pagerduty_schedule.primary.id
}
}
rule {
escalation_delay_in_minutes = 15
target {
type = "user_reference"
id = pagerduty_user.manager.id
}
}
}
resource "pagerduty_schedule" "primary" {
name = "Primary On-Call"
time_zone = "America/New_York"
layer {
name = "Weekly Rotation"
start = "2024-01-01T00:00:00-05:00"
rotation_virtual_start = "2024-01-01T00:00:00-05:00"
rotation_turn_length_seconds = 604800 # 1 week
users = [for user in pagerduty_user.oncall : user.id]
}
# Override layer for holidays
layer {
name = "Holiday Coverage"
start = "2024-01-01T00:00:00-05:00"
rotation_virtual_start = "2024-01-01T00:00:00-05:00"
rotation_turn_length_seconds = 86400
users = [pagerduty_user.holiday_coverage.id]
restriction {
type = "daily_restriction"
start_time_of_day = "00:00:00"
duration_seconds = 86400
start_day_of_week = 0 # Sunday
}
}
}
# docker-compose.yml addition
services:
oncall:
image: grafana/oncall
environment:
- SECRET_KEY=your-secret-key
- BASE_URL=http://oncall:8080
- GRAFANA_API_URL=http://grafana:3000
ports:
- "8080:8080"
# Example escalation chain structure
escalation_chains:
- name: "Production Critical"
steps:
- step: 1
type: notify
persons:
- "@oncall-primary"
wait_delay: 0
- step: 2
type: notify
persons:
- "@oncall-secondary"
wait_delay: 5m
- step: 3
type: notify
persons:
- "@engineering-manager"
wait_delay: 10m
- step: 4
type: trigger_action
action: "escalate_to_incident_commander"
wait_delay: 15m
{{ define "slack.title" }}
[{{ .Status | toUpper }}{{ if eq .Status "firing" }}:{{ .Alerts.Firing | len }}{{ end }}] {{ .CommonLabels.alertname }}
{{ end }}
{{ define "slack.text" }}
{{ range .Alerts }}
*Alert:* {{ .Annotations.summary }}
*Severity:* {{ .Labels.severity }}
*Description:* {{ .Annotations.description }}
*Runbook:* {{ .Annotations.runbook_url }}
{{ end }}
{{ end }}
{{ define "pagerduty.firing" }}
{{ range .Alerts.Firing }}
Alert: {{ .Labels.alertname }}
Service: {{ .Labels.service }}
Instance: {{ .Labels.instance }}
Value: {{ .Annotations.value }}
Started: {{ .StartsAt.Format "2006-01-02 15:04:05" }}
{{ end }}
{{ end }}
on_call_guidelines:
rotation_length: 1 week
handoff_time: "10:00 AM Monday"
responsibilities:
- Monitor alerts during shift
- Respond within SLA (critical: 5min, high: 15min)
- Document incidents
- Handoff unresolved issues
support:
- Secondary on-call for backup
- Clear escalation path
- Manager availability for major incidents
wellness:
- Maximum 1 week on-call per month
- Comp time after high-alert periods
- No-interrupt recovery day after shift
# Alert: High Error Rate
## Summary
Error rate has exceeded the threshold of 5% for the service.
## Impact
Users may experience errors when accessing the application.
## Investigation Steps
1. Check service logs: `kubectl logs -l app=myapp -n production`
2. Review recent deployments: `kubectl rollout history deployment/myapp`
3. Check database connectivity: `kubectl exec -it myapp -- nc -zv postgres 5432`
4. Review error traces in APM dashboard
## Contents
- [Remediation](references/details.md)
- [Escalation](references/details.md)
- [Alert Fatigue Reduction](references/details.md)
- [Common Issues](references/details.md)
- [Best Practices](references/details.md)
- [Related Skills](references/details.md)
## When to Use This Skill
Use this skill when:
- Setting up alerting rules and thresholds
- Configuring on-call rotations and schedules
- Implementing alert routing and escalation
- Reducing alert fatigue
- Managing incident response workflows
## Limitations
- Guidance executes against real environments: confirm target, blast radius, and rollback plan before applying anything.
- Never deploy to production without explicit approval. Docs-only import: upstream scripts and templates not bundled.
### Example
```bash
git status && git diff --stat
kubectl diff -f manifest.yaml
Adapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.
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
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。
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
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 nicho.
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 for any "make slides", "create a deck", or "slides from this document" request.
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。
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
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。