Runbook d'incident Vercel

Procédures pas à pas pour incidents Vercel : échecs de déploiement, erreurs de fonctions et pannes de plateforme. Inclut triage rapide, rollback instantané et postmortem.

Spar Skills Guide Bot
DevOpsAvancé
0029/08/2026
Claude Code
#saas#vercel#incident-response#runbook

Recommandé pour


name: vercel-incident-runbook description: 'Vercel incident response procedures with triage, instant rollback, and postmortem.

Use when responding to Vercel-related outages, investigating production errors,

or running post-incident reviews for deployment failures.

Trigger with phrases like "vercel incident", "vercel outage",

"vercel down", "vercel on-call", "vercel emergency", "vercel broken".

' allowed-tools: Read, Grep, Bash(vercel:), Bash(curl:) version: 1.18.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • vercel
  • incident-response
  • runbook compatibility: Designed for Claude Code

Vercel Incident Runbook

Overview

Step-by-step incident response for Vercel deployment failures, function errors, and platform outages. Covers rapid triage, instant rollback, communication templates, and postmortem procedures.

Prerequisites

  • Access to Vercel dashboard and CLI
  • Access to Vercel status page (vercel-status.com)
  • Communication channels (Slack, PagerDuty) configured
  • Log drain or runtime log access

Instructions

Step 1: Rapid Triage (First 5 Minutes)

# 1. Check if it's a Vercel platform issue
curl -s "https://www.vercel-status.com/api/v2/summary.json" \
  | jq '.status.description, [.components[] | select(.status != "operational") | {name, status}]'

# 2. Check current production deployment status
vercel ls --prod
vercel inspect $(vercel ls --prod --json | jq -r '.[0].url')

# 3. Check recent deployments — did a deploy just happen?
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v6/deployments?target=production&limit=5&projectId=prj_xxx" \
  | jq '.deployments[] | {uid, state, createdAt: (.createdAt/1000 | todate), url}'

# 4. Check function logs for errors
vercel logs $(vercel ls --prod --json | jq -r '.[0].url') --level=error --limit=20

Step 2: Decision Tree

Is vercel-status.com showing an incident?
├── YES → Vercel platform issue
│   ├── Subscribe to updates on status page
│   ├── Post internal status: "Vercel platform incident — monitoring"
│   └── No action needed from us — wait for Vercel resolution
│
└── NO → Issue is in our deployment
    ├── Did a deployment happen in the last 30 minutes?
    │   ├── YES → Likely deployment regression
    │   │   └── ROLLBACK immediately (Step 3)
    │   └── NO → Application-level issue
    │       ├── Check function logs for new errors
    │       ├── Check external dependency status (DB, APIs)
    │       └── Investigate and hotfix (Step 4)
    │
    └── Is the issue region-specific?
        ├── YES → Check function regions, possible edge issue
        └── NO → Global issue, check code and env vars

Step 3: Instant Rollback (< 30 Seconds)

# Option A: Rollback to previous production deployment (fastest)
vercel rollback
# This instantly swaps production traffic — no rebuild needed

# Option B: Rollback to a specific known-good deployment
vercel rollback dpl_xxxxxxxxxxxx

# Option C: Via API (for automation/PagerDuty integration)
curl -X POST "https://api.vercel.com/v9/projects/my-app/promote" \
  -H "Authorization: Bearer $VERCEL_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"deploymentId": "dpl_known_good_id"}'

# Verify rollback succeeded
vercel ls --prod
curl -s https://yourdomain.com/api/health | jq .

Step 4: Investigate Root Cause

# Collect evidence while it's fresh
mkdir incident-$(date +%Y%m%d)
cd incident-$(date +%Y%m%d)

# Function logs around the incident time
vercel logs https://yourdomain.com --limit=200 > function-logs.txt

# Deployment diff — what changed?
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v13/deployments/dpl_broken" \
  | jq '.meta' > broken-deployment-meta.json

# Compare env vars between working and broken deployments
vercel env ls > env-vars.txt

# Check git diff between last good and broken commit
git log --oneline -10
git diff dpl_good_commit..dpl_broken_commit -- api/ src/

Step 5: Enable Maintenance Page (If Needed)

// vercel.json — temporary maintenance mode via rewrite
{
  "rewrites": [
    {
      "source": "/((?!_next|api/health).*)",
      "destination": "/maintenance.html"
    }
  ]
}
<!-- public/maintenance.html -->
<!DOCTYPE html>
<html>
<head><title>Maintenance</title></head>
<body>
  <h1>We'll be right back</h1>
  <p>We're performing scheduled maintenance. Please check back shortly.</p>
</body>
</html>

Step 6: Communication Templates

Internal — Slack (Incident Start)

:rotating_light: INCIDENT: [Project Name] production issue detected
Status: Investigating
Impact: [Description of user impact]
Start time: [UTC timestamp]
On-call: @[engineer]
Thread: replies here

Internal — Slack (Mitigation)

:white_check_mark: MITIGATED: [Project Name]
Action: Rolled back to deployment dpl_xxx
Impact duration: [X minutes]
Root cause: [Brief description]
Postmortem: [link] scheduled for [date]

External — Status Page

Title: Degraded performance on [service]
Body: We are investigating reports of [issue]. Some users may experience
[impact]. Our team is actively working on a resolution.
Update: The issue has been resolved. [Brief root cause].

Step 7: Postmortem Template

# Incident Postmortem: [Title]

## Summary
- Duration: [start] to [end] ([X minutes])
- Impact: [users/requests affected]
- Severity: [P1/P2/P3]

## Timeline (UTC)
- HH:MM — [event]
- HH:MM — Alert fired
- HH:MM — On-call acknowledged
- HH:MM — Root cause identified
- HH:MM — Rollback executed
- HH:MM — Service restored

## Root Cause
[What broke and why]

## Resolution
[What was done to fix it]

## Action Items
- [ ] [Preventive action] — Owner: @xxx — Due: [date]
- [ ] [Detection improvement] — Owner: @xxx — Due: [date]
- [ ] [Process improvement] — Owner: @xxx — Due: [date]

Incident Severity Levels

| Severity | Definition | Response Time | Rollback? | |----------|-----------|---------------|-----------| | P1 | Production down, all users affected | < 5 min | Immediate | | P2 | Degraded, some users affected | < 15 min | If not fixable in 30 min | | P3 | Minor issue, workaround exists | < 1 hour | No | | P4 | Cosmetic or non-urgent | Next business day | No |

Output

  • Incident categorized and triaged within 5 minutes
  • Instant rollback executed if deployment regression detected
  • Communication sent to internal and external stakeholders
  • Postmortem scheduled with action items

Error Handling

| Scenario | Action | |----------|--------| | Vercel status page shows incident | Monitor, communicate, no deployment changes | | vercel rollback fails | Use API promotion: POST to /v9/projects/.../promote | | Rollback deployment also broken | Deploy from a known-good git tag | | Cannot access Vercel dashboard | Use CLI with saved VERCEL_TOKEN | | Log retention expired | Check external log drain provider |

Examples

Contain a deployment regression during an incident

Declare the severity and incident lead, capture the affected deployment ID and baseline error rate, then use Vercel’s instant rollback to the previously verified deployment. Validate recovery with synthetic requests from the monitoring system before announcing restoration. Do not change unrelated configuration while containment is active; preserve logs and the rollback receipt for the post-incident review, then schedule remediation as a separately reviewed change.

Resources

Next Steps

For data handling and compliance, see vercel-data-handling.

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