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clerk-incident-runbook Incident response procedures for Clerk authentication issues.
Use when handling auth outages, security incidents,
or production authentication problems.
Trigger with phrases like "clerk incident", "clerk outage",
"clerk down", "auth not working", "clerk emergency".
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下载 Zip 下载中... name clerk-incident-runbook description Incident response procedures for Clerk authentication issues.
Use when handling auth outages, security incidents,
or production authentication problems.
Trigger with phrases like "clerk incident", "clerk outage",
"clerk down", "auth not working", "clerk emergency".
allowed-tools Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep version 1.0.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io>
Clerk Incident Runbook
Overview
Procedures for responding to Clerk-related incidents in production.
Prerequisites
Access to Clerk dashboard
Access to application logs
Emergency contact list
Rollback procedures documented
Incident Categories
Category 1: Complete Auth Outage
Symptoms: All users unable to sign in, middleware returning errors
Immediate Actions:
curl -s https://status.clerk.com/api/v1/status | jq
curl -I https://yourapp.com/api/health/clerk
vercel env ls | grep CLERK
import { clerkMiddleware } from '@clerk/nextjs/server'
import { NextResponse } from 'next/server'
const EMERGENCY_BYPASS = process.env .CLERK_EMERGENCY_BYPASS === 'true'
export default clerkMiddleware (async (auth, request) => {
if (EMERGENCY_BYPASS ) {
console .warn ('[EMERGENCY] Auth bypass active' , {
path : request.nextUrl .pathname ,
timestamp : new Date ().toISOString ()
})
return NextResponse .next ()
}
await auth.protect ()
})
Category 2: Webhook Processing Failure Symptoms: User data out of sync, missing user records
curl -X POST https://yourapp.com/api/webhooks/clerk \
-H "Content-Type: application/json" \
-d '{"type":"ping"}' \
-w "\n%{http_code}"
import { clerkClient } from '@clerk/nextjs/server'
import { db } from '../lib/db'
async function resyncAllUsers ( ) {
const client = await clerkClient ()
let offset = 0
const limit = 100
while (true ) {
const { data : users, totalCount } = await client.users .getUserList ({
limit,
offset
})
for (const user of users) {
await db.user .upsert ({
where : { clerkId : user.id },
update : {
email : user.emailAddresses [0 ]?.emailAddress ,
firstName : user.firstName ,
lastName : user.lastName ,
updatedAt : new Date ()
},
create : {
clerkId : user.id ,
email : user.emailAddresses [0 ]?.emailAddress ,
firstName : user.firstName ,
lastName : user.lastName
}
})
}
console .log (`Synced ${offset + users.length} of ${totalCount} users` )
offset += limit
if (offset >= totalCount) break
}
console .log ('Resync complete' )
}
resyncAllUsers ()
Category 3: Security Incident Symptoms: Unauthorized access detected, suspicious sessions
import { clerkClient } from '@clerk/nextjs/server'
async function revokeUserSessions (userId : string ) {
const client = await clerkClient ()
const sessions = await client.sessions .getSessionList ({
userId,
status : 'active'
})
for (const session of sessions.data ) {
await client.sessions .revokeSession (session.id )
console .log (`Revoked session: ${session.id} ` )
}
console .log (`Revoked ${sessions.data.length} sessions for user ${userId} ` )
}
revokeUserSessions ('user_xxx' )
import { clerkClient } from '@clerk/nextjs/server'
async function lockoutUser (userId : string ) {
const client = await clerkClient ()
await client.users .banUser (userId)
const sessions = await client.sessions .getSessionList ({
userId,
status : 'active'
})
for (const session of sessions.data ) {
await client.sessions .revokeSession (session.id )
}
console .log (`User ${userId} locked out and all sessions revoked` )
}
Category 4: Performance Degradation Symptoms: Slow sign-in, high latency, timeouts
async function diagnosePerformance ( ) {
const results = {
authCheck : 0 ,
getUserList : 0 ,
currentUser : 0
}
const authStart = performance.now ()
await auth ()
results.authCheck = performance.now () - authStart
const apiStart = performance.now ()
const client = await clerkClient ()
await client.users .getUserList ({ limit : 1 })
results.getUserList = performance.now () - apiStart
const userStart = performance.now ()
await currentUser ()
results.currentUser = performance.now () - userStart
console .log ('Performance Diagnosis:' , results)
if (results.authCheck > 100 ) {
console .warn ('Auth check slow - check middleware configuration' )
}
if (results.getUserList > 500 ) {
console .warn ('API slow - check Clerk status or network' )
}
return results
}
Runbook Procedures
Procedure 1: Auth Outage Response 1. [ ] Confirm outage (check status.clerk.com)
2. [ ] Check application logs for errors
3. [ ] Verify environment variables
4. [ ] If Clerk outage:
a. [ ] Enable emergency bypass (if safe)
b. [ ] Notify users via status page
c. [ ] Monitor Clerk status
5. [ ] If application issue:
a. [ ] Check recent deployments
b. [ ] Rollback if necessary
c. [ ] Check middleware configuration
6. [ ] Document timeline and actions
7. [ ] Conduct post-mortem
Procedure 2: Security Breach Response 1. [ ] Identify affected accounts
2. [ ] Revoke all sessions for affected users
3. [ ] Lock compromised accounts
4. [ ] Reset API keys if exposed
5. [ ] Enable additional verification
6. [ ] Notify affected users
7. [ ] Review access logs
8. [ ] Document and report
Procedure 3: Data Sync Recovery 1. [ ] Identify sync gap (check webhook logs)
2. [ ] Pause webhook processing
3. [ ] Export current database state
4. [ ] Run resync script
5. [ ] Verify data integrity
6. [ ] Resume webhook processing
7. [ ] Monitor for new issues
Emergency Contacts
contacts:
on_call:
- name: On-Call Engineer
phone: "+1-xxx-xxx-xxxx"
slack: "@oncall"
clerk_support:
- url: "https://clerk.com/support"
- email: "support@clerk.com"
- priority: "For enterprise: contact account manager"
escalation:
- level: 1
contact: "On-call engineer"
time: "0-15 min"
- level: 2
contact: "Engineering lead"
time: "15-30 min"
- level: 3
contact: "CTO"
time: "30+ min"
Post-Incident
Template # Incident Report: [Title]
## Summary
- **Date:** YYYY-MM-DD
- **Duration:** X hours Y minutes
- **Severity:** P1/P2/P3
- **Impact:** [Number of affected users]
## Timeline
- HH:MM - Incident detected
- HH:MM - Initial response
- HH:MM - Mitigation applied
- HH:MM - Resolution confirmed
## Root Cause
[Description of root cause]
## Resolution
[Steps taken to resolve]
## Prevention
- [ ] Action item 1
- [ ] Action item 2
## Lessons Learned
[Key takeaways]
Output
Incident response procedures
Recovery scripts
Emergency bypass capability
Post-incident templates
Resources
Next Steps Proceed to clerk-data-handling for user data management.