MCP HubMCP Hub
Retour aux compétences

design-on-call-rotation

pjt222
Mis à jour 2 days ago
5 vues
17
2
17
Voir sur GitHub
Designaidesign

À propos

Cette compétence aide les développeurs à concevoir des rotations de garde durables qui équilibrent la couverture avec le bien-être des ingénieurs. Elle fournit des conseils pour créer des plannings, des politiques d'escalade, la gestion de la fatigue et les procédures de passation. Utilisez-la lors de la mise en place d'une nouvelle rotation, de l'extension d'une équipe, ou pour résoudre des problèmes d'épuisement et de passation.

Installation rapide

Claude Code

Recommandé
Principal
npx skills add pjt222/agent-almanac -a claude-code
Commande PluginAlternatif
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternatif
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/design-on-call-rotation

Copiez et collez cette commande dans Claude Code pour installer cette compétence

Documentation

Design On-Call Rotation

Sustainable on-call. Coverage balance w/ eng wellbeing.

Use When

  • First-time on-call
  • Scale 2-3 → 5+ engs
  • Burnout / alert fatigue
  • Improve incident response
  • Post-mortem → handoff issues

In

  • Required: Team size + timezones
  • Required: SLA (response, coverage)
  • Optional: Historical incident vol + timing
  • Optional: Comp budget
  • Optional: Tool (PagerDuty, Opsgenie)

Do

Step 1: Rotation schedule

Length by team size:

## Rotation Models

### Weekly Rotation (5+ person team)
- **Length**: 7 days (Monday 09:00 to Monday 09:00)
- **Pros**: Predictable, easy to plan around
- **Cons**: Whole week disrupted if alerts are frequent

### 12-Hour Split (3-4 person team)
- **Day shift**: 08:00-20:00 local time
- **Night shift**: 20:00-08:00 local time
- **Pros**: Shared burden, night coverage paid differently
- **Cons**: More handoffs, coordination needed

### Follow-the-Sun (Global team)
- **APAC**: 00:00-08:00 UTC
- **EMEA**: 08:00-16:00 UTC
- **Americas**: 16:00-00:00 UTC
- **Pros**: No night shifts, timezone-aligned
- **Cons**: Requires distributed team

### Two-Tier (Senior/Junior split)
- **Primary**: Junior engineers (first responder)
- **Secondary**: Senior engineers (escalation)
- **Pros**: Training opportunity, lighter senior load
- **Cons**: Risk of junior burnout

Ex 5-person:

Week 1: Alice (Primary), Bob (Secondary)
Week 2: Charlie (Primary), Diana (Secondary)
Week 3: Eve (Primary), Alice (Secondary)
Week 4: Bob (Primary), Charlie (Secondary)
Week 5: Diana (Primary), Eve (Secondary)

→ Fair rotation + 24/7 coverage.

If err: Gaps → more engs or reduce SLA to biz hours.

Step 2: Escalation policy

Tiered PagerDuty/Opsgenie:

# PagerDuty escalation policy (YAML representation)
escalation_policy:
  name: "Production Services"
  repeat_enabled: true
  num_loops: 3

  escalation_rules:
    - id: primary
      escalation_delay_in_minutes: 0
      targets:
        - type: schedule
          id: primary_on_call_schedule

    - id: secondary
      escalation_delay_in_minutes: 15
      targets:
        - type: schedule
          id: secondary_on_call_schedule

    - id: manager
      escalation_delay_in_minutes: 30
      targets:
        - type: user
          id: engineering_manager

Flowchart:

Alert Fires
    ↓
Primary On-Call Paged
    ↓
Wait 15 minutes (no ack)
    ↓
Secondary On-Call Paged
    ↓
Wait 15 minutes (no ack)
    ↓
Manager Paged
    ↓
Repeat cycle (max 3 times)

→ Clear path + reasonable delays.

If err: Fires too often → shorter ack or check alert quality.

Step 3: Handoff

Structured checklist:

## On-Call Handoff Checklist

### Outgoing On-Call
- [ ] Update incident log with any ongoing issues
- [ ] Document any workarounds or known issues
- [ ] Share any alerts that are "noisy but safe to ignore" temporarily
- [ ] Note any upcoming deploys or maintenance windows
- [ ] Provide context on any flapping alerts

### Incoming On-Call
- [ ] Review incident log from previous shift
- [ ] Check for any ongoing incidents
- [ ] Verify PagerDuty/Opsgenie has correct contact info
- [ ] Test alert delivery (send test page to yourself)
- [ ] Review recent deploys and release notes
- [ ] Check capacity metrics for any concerning trends

### Handoff Meeting (15 min)
- Review any incidents from past week
- Discuss any changes to systems or runbooks
- Questions and clarifications

Auto reminders:

# Slack reminder script
curl -X POST https://slack.com/api/chat.postMessage \
  -H "Authorization: Bearer $SLACK_BOT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "channel": "#on-call",
    "text": "On-call handoff in 1 hour. Outgoing: @alice, Incoming: @bob. Please use the handoff checklist: https://wiki.company.com/oncall-handoff"
  }'

→ Smooth knowledge transfer, no info loss.

If err: Recurring incidents bc incoming didn't know workarounds → mandatory handoff.

Step 4: Fatigue mgmt

Rules to prevent burnout:

## Fatigue Prevention Rules

### Alert Volume Limits
- **Threshold**: Max 5 pages per night (22:00-06:00)
- **Action**: If exceeded, trigger incident review next day
- **Goal**: Reduce noisy alerts that disrupt sleep

### Time Off After Major Incident
- **Rule**: If on-call handles P1 incident >2 hours overnight, they get comp time
- **Amount**: Equal to incident duration (e.g., 3-hour incident = 3 hours off)
- **Scheduling**: Must be taken within 2 weeks

### Maximum Consecutive Weeks
- **Limit**: No more than 2 consecutive weeks on-call
- **Reason**: Prevents exhaustion from extended coverage

### Minimum Rest Between Rotations
- **Cooldown**: At least 2 weeks between primary rotations
- **Exception**: Emergency coverage (requires manager approval)

### Vacation Protection
- **Rule**: No on-call during scheduled vacation
- **Process**: Mark as "Out of Office" in PagerDuty 2 weeks in advance
- **Swap**: Coordinate swap with team, update schedule

Track fatigue metrics:

# Alerts per on-call engineer per week
count(ALERTS{alertstate="firing"}) by (oncall_engineer)

# Nighttime pages (22:00-06:00 local)
count(ALERTS{alertstate="firing", hour_of_day>=22 or hour_of_day<6})

# Time to acknowledge (should be <5 min during business hours)
histogram_quantile(0.95, rate(alert_ack_duration_seconds_bucket[7d]))

→ Load sustainable, no chronic exhaustion.

If err: Burnout despite rules → reduce alert volume or hire more.

Step 5: Runbooks + escalation contacts

On-call reference:

# On-Call Quick Reference

## Emergency Contacts
- **Engineering Manager**: Alice Smith, +1-555-0100
- **CTO**: Bob Johnson, +1-555-0200
- **Security Team**: [email protected], +1-555-0300
- **Cloud Provider Support**: AWS Support Case Portal

## Common Runbooks
- [Database Connection Pool Exhaustion](https://wiki/runbook-db-pool)
- [High API Latency](https://wiki/runbook-api-latency)
- [Disk Space Full](https://wiki/runbook-disk-full)
- [SSL Certificate Expiration](https://wiki/runbook-ssl-renewal)

## Access & Credentials
- **Production AWS**: SSO via company.okta.com
- **Kubernetes**: `kubectl --context production`
- **Database**: Read-only access via Bastion host
- **Secrets**: 1Password vault "On-Call Production"

## Escalation Decision Tree
- **P1 (Service Down)**: Immediate response, escalate to manager after 30min
- **P2 (Degraded)**: Response within 15min, escalate if not resolved in 1 hour
- **P3 (Warning)**: Acknowledge, resolve during business hours
- **Security Incident**: Immediately escalate to Security Team, don't investigate alone

→ Engineer finds any info <2 min.

If err: Repeatedly ask "where is X?" → centralize docs.

Step 6: Monthly retros

## On-Call Retrospective Agenda (Monthly)

### Metrics Review (15 min)
- Total alerts: [X] (target: <50/week)
- Nighttime pages: [Y] (target: <5/week)
- Mean time to acknowledge: [Z] (target: <5 min)
- Incidents by severity: P1: [A], P2: [B], P3: [C]

### Qualitative Feedback (20 min)
- What was the most challenging incident?
- Which alerts were noisy/low-value?
- Were runbooks helpful? Which need updates?
- Any gaps in monitoring or alerting?

### Action Items (10 min)
- Fix noisy alerts identified
- Update runbooks that were incomplete
- Adjust rotation schedule if needed
- Plan alert tuning work

### Recognition (5 min)
- Shout-outs for excellent incident response
- Share learnings from interesting incidents

Track improvement:

# Generate monthly on-call report
cat > oncall_report_2025-02.md <<EOF
# On-Call Report: February 2025

## Key Metrics
- **Total Alerts**: 38 (down from 52 in January)
- **Nighttime Pages**: 4 (within target)
- **P1 Incidents**: 1 (database outage, 45min MTTR)
- **P2 Incidents**: 3 (all resolved <1 hour)

## Improvements Made
- Tuned CPU alert threshold (reduced false positives by 40%)
- Added runbook for Redis cache failures
- Implemented log rotation (prevented disk full alerts)

## Upcoming Changes
- Migrate to follow-the-sun rotation (Q2)
- Add Slack alert integration (in progress)
EOF

→ Experience improves month-over-month, alert vol drops.

If err: Metrics no improve → escalate leadership. Pause feature work for ops issues.

Check

  • Schedule covers all reqd hours (24/7 or biz)
  • Escalation tested (send test alerts)
  • Handoff proc docs + shared
  • Fatigue rules codified
  • Reference complete + accessible
  • Monthly retros scheduled
  • Comp approved (if applicable)

Traps

  • Too few engs: ≤3 → every 2-3 weeks, unsustainable. Min 5 for weekly.
  • No escalation delays: Immediate mgr = wastes senior time. 15 min primary.
  • Skip handoffs: No ctx transfer → repeat mistakes. Mandatory.
  • Ignore fatigue: Ignore alerts → critical issues missed. Tune aggressive.
  • No comp: Breeds resentment. Budget it.

  • configure-alerting-rules — reduce alert noise → fatigue
  • write-incident-runbook — runbooks during shifts

Dépôt GitHub

pjt222/agent-almanac
Chemin: i18n/caveman-ultra/skills/design-on-call-rotation
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Compétences associées

executing-plans

Design

Utilisez la compétence executing-plans lorsque vous disposez d'un plan de mise en œuvre complet à exécuter par lots contrôlés avec des points de contrôle de revue. Elle charge et examine le plan de manière critique, puis exécute les tâches par petits lots (3 tâches par défaut) tout en rapportant la progression entre chaque lot pour une revue par l'architecte. Cela garantit une mise en œuvre systématique avec des points de contrôle de qualité intégrés.

Voir la compétence

requesting-code-review

Design

Cette compétence délègue un sous-agent réviseur de code pour analyser les modifications apportées au code par rapport aux exigences avant de poursuivre. Elle doit être utilisée après avoir terminé des tâches, implémenté des fonctionnalités majeures, ou avant une fusion vers la branche principale. La revue aide à détecter précocement les problèmes en comparant l'implémentation actuelle avec le plan initial.

Voir la compétence

connect-mcp-server

Design

Cette compétence fournit un guide complet permettant aux développeurs de connecter des serveurs MCP à Claude Code via les transports HTTP, stdio ou SSE. Elle couvre l'installation, la configuration, l'authentification et la sécurité pour intégrer des services externes tels que GitHub, Notion et des API personnalisées. Utilisez-la lors de la configuration d'intégrations MCP, de la configuration d'outils externes ou du travail avec le Protocole de Contexte de Modèle de Claude.

Voir la compétence

web-cli-teleport

Design

Cette compétence aide les développeurs à choisir entre les interfaces Web et CLI de Claude Code en fonction de l'analyse des tâches, puis permet une téléportation transparente des sessions entre ces environnements. Elle optimise le flux de travail en gérant l'état et le contexte de la session lors du passage entre le web, la CLI ou le mobile. Utilisez-la pour des projets complexes nécessitant différents outils à diverses étapes.

Voir la compétence