severity-levels
Comprehensive guide to incident severity classification and response requirements
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Incident Severity Levels
Overview
Severity levels provide a standardized way to classify incidents based on their impact, enabling appropriate response, resource allocation, and communication. Consistent severity classification ensures the right people respond with the right urgency.
Core Principle: "Severity drives response - classify quickly, respond appropriately."
1. Why Severity Levels Matter
Benefits of Clear Severity Definitions
✓ Appropriate resource allocation
- Don't wake everyone for minor issues
- Do mobilize all hands for critical outages
✓ Clear response expectations
- Everyone knows what SEV1 means
- Consistent response across teams
✓ Communication clarity
- Stakeholders understand impact
- Status page updates match severity
✓ Postmortem requirements
- SEV0/1: Always postmortem
- SEV3/4: Optional review
✓ SLA tracking
- Measure response times by severity
- Identify improvement areas
✓ Historical analysis
- Trend severity over time
- Identify systemic issues
Cost of Inconsistent Severity
❌ Over-escalation:
- Alert fatigue
- Wasted resources
- Boy who cried wolf syndrome
❌ Under-escalation:
- Delayed response
- Increased customer impact
- Missed SLA targets
2. Standard Severity Definitions
SEV0 / P0: Critical - Complete Outage
Definition:
Complete service outage affecting all or nearly all users with severe business impact.
Characteristics:
- 100% or near-100% of users affected
- Core functionality completely unavailable
- Significant revenue impact
- Data loss or security breach
- No workaround available
Examples:
✓ Entire website/app down (returns 500/503)
✓ Database completely unavailable
✓ Payment processing completely halted
✓ Data breach with customer data exposed
✓ Complete datacenter failure
✓ Critical security vulnerability being actively exploited
Response:
- Immediate all-hands response
- War room established
- Executive notification
- Status page: "Major outage"
- Customer communication: Immediate
SEV1 / P1: High - Major Functionality Broken
Definition:
Major functionality unavailable or severely degraded, affecting significant portion of users.
Characteristics:
- 25-100% of users affected
- Critical feature unavailable
- Significant business impact
- Limited or no workaround
- Revenue impact
Examples:
✓ Login system down (can't authenticate)
✓ Checkout broken (can't complete purchases)
✓ API returning 50%+ errors
✓ Database in read-only mode
✓ Major feature completely broken
✓ Significant data corruption
Response:
- Immediate response (< 15 minutes)
- Senior engineer + team lead
- War room for extended incidents
- Status page: "Partial outage"
- Customer communication: Within 30 minutes
SEV2 / P2: Medium - Important Feature Degraded
Definition:
Important functionality degraded or unavailable, affecting subset of users.
Characteristics:
- 5-25% of users affected
- Important (not critical) feature impacted
- Moderate business impact
- Workaround may exist
- Performance degradation
Examples:
✓ Search feature slow or returning poor results
✓ Email notifications delayed
✓ Dashboard loading slowly
✓ Some API endpoints timing out
✓ Single region experiencing issues
✓ Non-critical feature broken
Response:
- Response within 1 hour
- On-call engineer + escalation if needed
- Status page: "Degraded performance" (optional)
- Customer communication: If prolonged
SEV3 / P3: Low - Minor Issue
Definition:
Minor functionality issue with minimal user impact, workaround available.
Characteristics:
- < 5% of users affected
- Minor feature impacted
- Minimal business impact
- Workaround available
- Cosmetic or edge case
Examples:
✓ UI element misaligned
✓ Minor data inconsistency
✓ Rare edge case bug
✓ Non-critical background job failing
✓ Internal tool slow
✓ Documentation outdated
Response:
- Response within 4 hours (business hours)
- On-call engineer (low priority)
- No status page update
- No customer communication
SEV4 / P4: Minimal - Cosmetic Issue
Definition:
Cosmetic issue or very minor bug with no user impact.
Characteristics:
- No user impact
- Cosmetic only
- Internal tooling
- Nice-to-have improvement
Examples:
✓ Typo in UI text
✓ Color scheme inconsistency
✓ Internal dashboard formatting
✓ Log message formatting
✓ Code style issue
Response:
- Response next business day or later
- Regular development workflow
- No on-call response needed
- No communication required
3. Severity Assessment Criteria
The Four Dimensions
interface SeverityAssessment {
scope: {
usersAffected: number | string; // Absolute number or percentage
servicesAffected: string[];
regionsAffected: string[];
};
impact: {
functionalityLost: 'complete' | 'major' | 'partial' | 'minor' | 'cosmetic';
businessImpact: 'critical' | 'high' | 'medium' | 'low' | 'none';
revenueImpact: number; // $ per hour
};
duration: {
actual?: number; // minutes (if resolved)
projected?: number; // minutes (if ongoing)
};
workaround: {
available: boolean;
difficulty: 'easy' | 'moderate' | 'difficult' | 'none';
};
}
function calculateSeverity(assessment: SeverityAssessment): string {
// Complete outage
if (assessment.scope.usersAffected === '100%' &&
assessment.impact.functionalityLost === 'complete') {
return 'SEV0';
}
// Major functionality broken
if (assessment.impact.functionalityLost === 'major' ||
assessment.impact.businessImpact === 'critical' ||
(typeof assessment.scope.usersAffected === 'number' && assessment.scope.usersAffected > 10000)) {
return 'SEV1';
}
// Important feature degraded
if (assessment.impact.functionalityLost === 'partial' ||
assessment.impact.businessImpact === 'medium') {
return 'SEV2';
}
// Minor issue
if (assessment.impact.functionalityLost === 'minor') {
return 'SEV3';
}
// Cosmetic
return 'SEV4';
}
Scope: How Many Users?
100% of users → SEV0 (if critical functionality)
50-100% of users → SEV1
10-50% of users → SEV2
1-10% of users → SEV3
< 1% of users → SEV3 or SEV4
Examples:
- All users can't login → SEV0
- Half of users seeing errors → SEV1
- 10% of users experiencing slow search → SEV2
- Single enterprise customer affected → SEV2 or SEV3 (depends on contract)
- One user reports UI glitch → SEV4
Impact: How Severe?
Critical: Core business function unavailable
- Can't process payments → SEV0/1
- Can't access data → SEV0/1
- Security breach → SEV0
High: Important function degraded
- Slow checkout → SEV1/2
- Search not working → SEV1/2
- Email delays → SEV2
Medium: Nice-to-have function affected
- Recommendations not showing → SEV2/3
- Analytics dashboard slow → SEV3
Low: Cosmetic or edge case
- UI misalignment → SEV4
- Rare bug → SEV3
Duration: How Long?
Duration affects severity escalation:
Initial classification:
- SEV2: Important feature degraded
After 4 hours:
- Escalate to SEV1 (prolonged impact)
After 8 hours:
- Consider SEV0 (major incident)
Example:
- Search slow for 30 minutes → SEV2
- Search slow for 6 hours → SEV1
- Search down for 12 hours → SEV0
Workaround: Is There an Alternative?
No workaround → Higher severity
Easy workaround → Lower severity
Examples:
- Login broken, no alternative → SEV0
- Login broken, can use SSO → SEV1
- Feature A broken, can use Feature B → SEV2
- UI button broken, can use keyboard shortcut → SEV3
4. Examples for Each Severity Level
SEV0 Examples
1. Complete Service Outage
Symptom: Website returns 503 for all requests
Impact: 100% of users can't access service
Revenue: $50k/hour
Severity: SEV0
2. Data Breach
Symptom: Customer data exposed publicly
Impact: All customers' PII at risk
Legal: GDPR violation, regulatory fines
Severity: SEV0
3. Payment Processing Halted
Symptom: All payment transactions failing
Impact: Can't process any orders
Revenue: $100k/hour
Severity: SEV0
4. Database Deleted
Symptom: Production database dropped
Impact: All data lost, service unusable
Recovery: Hours to restore from backup
Severity: SEV0
5. Critical Security Vulnerability Exploited
Symptom: SQL injection being actively exploited
Impact: Data exfiltration in progress
Risk: Complete data compromise
Severity: SEV0
SEV1 Examples
1. Login System Down
Symptom: Authentication service returning errors
Impact: Users can't login (existing sessions work)
Affected: ~30% of users (those not logged in)
Severity: SEV1
2. Checkout Broken
Symptom: Payment submission fails
Impact: Can't complete purchases
Revenue: $20k/hour
Severity: SEV1
3. Database Read-Only Mode
Symptom: All write operations failing
Impact: Can view data, can't create/update
Affected: 100% of users (partial functionality)
Severity: SEV1
4. API 50% Error Rate
Symptom: Half of API requests failing
Impact: Mobile app intermittently broken
Affected: 50% of mobile users
Severity: SEV1
5. Major Feature Completely Broken
Symptom: Search returns no results
Impact: Can't find products
Business: Significant conversion impact
Severity: SEV1
SEV2 Examples
1. Search Slow
Symptom: Search takes 10s instead of 1s
Impact: Poor user experience, some users give up
Affected: All users (degraded, not broken)
Severity: SEV2
2. Email Notifications Delayed
Symptom: Emails sent 2 hours late
Impact: Users don't get timely notifications
Workaround: Check in-app notifications
Severity: SEV2
3. Single Region Degraded
Symptom: US-West region slow
Impact: 20% of users (in that region)
Workaround: None for those users
Severity: SEV2
4. Admin Dashboard Unavailable
Symptom: Internal admin tool down
Impact: Support team can't access user data
Affected: Internal users only
Severity: SEV2
5. Some API Endpoints Timing Out
Symptom: /api/recommendations timing out
Impact: Recommendations not showing
Workaround: Users can still browse/purchase
Severity: SEV2
SEV3 Examples
1. UI Glitch
Symptom: Button overlaps text on mobile
Impact: Looks bad, but still functional
Affected: Mobile users
Severity: SEV3
2. Minor Data Inconsistency
Symptom: User's last login time incorrect
Impact: Cosmetic, doesn't affect functionality
Affected: All users (minor)
Severity: SEV3
3. Rare Edge Case Bug
Symptom: Error when user has exactly 100 items
Impact: Very few users affected
Workaround: Remove one item
Severity: SEV3
4. Non-Critical Background Job Failing
Symptom: Daily analytics aggregation not running
Impact: Internal reports outdated
Workaround: Run manually
Severity: SEV3
5. Internal Tool Slow
Symptom: Developer dashboard takes 5s to load
Impact: Internal productivity slightly reduced
Affected: Engineering team only
Severity: SEV3
SEV4 Examples
1. Typo in UI
Symptom: "Sumbit" instead of "Submit"
Impact: None (users understand)
Affected: All users (cosmetic only)
Severity: SEV4
2. Color Scheme Issue
Symptom: Button color doesn't match design
Impact: Purely aesthetic
Affected: All users (cosmetic)
Severity: SEV4
3. Documentation Outdated
Symptom: API docs show old endpoint
Impact: Developers might be confused
Workaround: Check code or ask
Severity: SEV4
4. Log Message Formatting
Symptom: Logs missing timestamp
Impact: Slightly harder to debug
Affected: Engineers only
Severity: SEV4
5. Code Style Inconsistency
Symptom: Some files use tabs, others spaces
Impact: None (linter catches it)
Affected: Developers only
Severity: SEV4
5. Severity and Response SLAs
Response Time SLAs
interface SeveritySLA {
severity: string;
acknowledgement: number; // minutes
initialResponse: number; // minutes
updateFrequency: number; // minutes
resolutionTarget: number; // hours
}
const severitySLAs: SeveritySLA[] = [
{
severity: 'SEV0',
acknowledgement: 5,
initialResponse: 10,
updateFrequency: 15,
resolutionTarget: 1
},
{
severity: 'SEV1',
acknowledgement: 15,
initialResponse: 30,
updateFrequency: 30,
resolutionTarget: 4
},
{
severity: 'SEV2',
acknowledgement: 60,
initialResponse: 120,
updateFrequency: 120,
resolutionTarget: 24
},
{
severity: 'SEV3',
acknowledgement: 240,
initialResponse: 480,
updateFrequency: 480,
resolutionTarget: 168 // 1 week
},
{
severity: 'SEV4',
acknowledgement: 1440, // 1 day
initialResponse: 2880, // 2 days
updateFrequency: 0, // No updates needed
resolutionTarget: 720 // 30 days
}
];
SLA Table
| Severity | Acknowledge | Initial Response | Update Frequency | Resolution Target |
|---|---|---|---|---|
| SEV0 | 5 min | 10 min | Every 15 min | 1 hour |
| SEV1 | 15 min | 30 min | Every 30 min | 4 hours |
| SEV2 | 1 hour | 2 hours | Every 2 hours | 24 hours |
| SEV3 | 4 hours | 8 hours | Daily | 1 week |
| SEV4 | 1 day | 2 days | None | 30 days |
6. Severity Escalation and De-escalation
When to Escalate Severity
Escalation Triggers:
1. Duration
- SEV2 lasting > 4 hours → SEV1
- SEV1 lasting > 8 hours → SEV0
2. Scope Expansion
- Initially 10% users → Now 50% users
- Single region → Multiple regions
3. New Information
- Thought it was cosmetic → Actually breaking functionality
- Discovered data loss
4. Business Impact
- Revenue impact higher than estimated
- Major customer affected
5. Cascading Failures
- One service down → Multiple services affected
// Auto-escalation logic
function checkEscalation(incident: Incident): boolean {
const duration = Date.now() - incident.startTime.getTime();
const durationHours = duration / (1000 * 60 * 60);
// SEV2 for > 4 hours → SEV1
if (incident.severity === 'SEV2' && durationHours > 4) {
escalateIncident(incident, 'SEV1', 'Duration exceeded 4 hours');
return true;
}
// SEV1 for > 8 hours → SEV0
if (incident.severity === 'SEV1' && durationHours > 8) {
escalateIncident(incident, 'SEV0', 'Duration exceeded 8 hours');
return true;
}
return false;
}
When to De-escalate Severity
De-escalation Triggers:
1. Partial Mitigation
- SEV0 → SEV1: Core functionality restored, some features degraded
- SEV1 → SEV2: Workaround implemented
2. Scope Reduction
- 100% users → 10% users
- All regions → Single region
3. Better Understanding
- Thought 100% affected → Actually 10%
- Thought critical → Actually non-critical
4. Temporary Workaround
- SEV1 → SEV2: Manual workaround available
// De-escalation example
async function deEscalateIncident(
incident: Incident,
newSeverity: string,
reason: string
) {
await updateIncident(incident.id, {
severity: newSeverity,
timeline: [
...incident.timeline,
{
timestamp: new Date(),
event: `De-escalated from ${incident.severity} to ${newSeverity}`,
reason
}
]
});
await notifyStakeholders({
incident: incident.id,
message: `Incident de-escalated to ${newSeverity}: ${reason}`
});
}
7. Communication Requirements by Severity
SEV0/1: Maximum Communication
Internal:
✓ Create dedicated Slack channel (#inc-YYYY-NNN)
✓ Establish war room (video call)
✓ Page on-call team + escalation
✓ Notify executives (CTO, CEO for SEV0)
✓ Update every 15-30 minutes
External:
✓ Update status page immediately
✓ Post on social media (if appropriate)
✓ Email affected customers
✓ Prepare customer-facing postmortem
Status Page Updates:
- Initial: "Investigating major outage affecting [service]"
- Progress: "Identified issue, implementing fix"
- Resolution: "Issue resolved, monitoring for stability"
- Follow-up: "Postmortem available at [link]"
SEV2: Moderate Communication
Internal:
✓ Create incident channel (optional)
✓ Notify team lead
✓ Update every 2 hours
✓ No executive notification (unless prolonged)
External:
✓ Update status page (if customer-facing)
✓ Email enterprise customers (if affected)
✓ No social media posts
Status Page Updates:
- "Experiencing degraded performance on [service]"
- "Issue resolved"
SEV3/4: Minimal Communication
Internal:
✓ Create ticket in issue tracker
✓ Assign to engineer
✓ No real-time updates
External:
✗ No status page update
✗ No customer communication
✗ Fix in regular release cycle
8. Post-Incident Requirements by Severity
SEV0/1: Mandatory Postmortem
Requirements:
✓ Full postmortem within 48 hours
✓ Root cause analysis (5 Whys)
✓ Timeline of events
✓ Action items with owners
✓ Executive review
✓ Share with entire engineering org
✓ Optional: Public postmortem
Template:
- Executive summary
- Impact (users, revenue, duration)
- Timeline
- Root cause
- What went well / wrong
- Action items
- Lessons learned
SEV2: Recommended Postmortem
Requirements:
✓ Lightweight postmortem (if prolonged or interesting)
✓ Brief root cause analysis
✓ Key learnings
✓ Action items
✓ Share with team
Optional:
- Full postmortem if valuable learnings
- Skip if straightforward fix
SEV3/4: Optional Review
Requirements:
✓ Document fix in ticket
✓ Update runbook (if applicable)
Optional:
- Team discussion if pattern emerges
- No formal postmortem
9. Resource Allocation by Severity
SEV0: All Hands
Mobilization:
- Incident Commander (senior engineer or manager)
- Technical Lead (architect or principal engineer)
- On-call team (all available)
- Subject matter experts (database, networking, etc.)
- Communications Lead
- Executive sponsor (CTO)
War Room:
- Video call (Zoom/Meet)
- Dedicated Slack channel
- Shared incident doc
Duration:
- Until resolved
- Rotate responders if > 4 hours
SEV1: Core Team
Mobilization:
- On-call engineer (primary)
- Team lead or senior engineer
- Subject matter expert (if needed)
- Communications (if customer-facing)
War Room:
- Slack channel
- Video call (if needed)
Duration:
- Until resolved or de-escalated
SEV2: On-Call + Backup
Mobilization:
- On-call engineer
- Escalate to team lead if not resolved in 2 hours
Communication:
- Slack thread or channel
Duration:
- Business hours response
SEV3/4: Single Engineer
Mobilization:
- On-call engineer (low priority)
- Or regular development workflow
Communication:
- Ticket comments
Duration:
- Fix in next sprint
10. On-Call Rotation Intensity
Severity-Based On-Call Tiers
Tier 1 (Primary On-Call):
- Responds to all SEV0-SEV3
- 24/7 availability
- 15-minute response SLA
Tier 2 (Secondary On-Call):
- Escalation from Tier 1
- Subject matter experts
- 30-minute response SLA
Tier 3 (Management):
- SEV0 incidents only
- Executive visibility
- 1-hour response SLA
On-Call Compensation by Severity
SEV0:
- Immediate response required
- Compensation: On-call pay + overtime
- Time off in lieu (TOIL)
SEV1:
- Urgent response required
- Compensation: On-call pay
- TOIL for extended incidents
SEV2-4:
- Business hours response acceptable
- Compensation: Standard on-call pay
11. Severity Level Confusion (Common Mistakes)
Mistake 1: Confusing Impact with Effort
❌ Wrong:
"This will take 2 weeks to fix → SEV0"
✓ Right:
"100% of users can't login → SEV0"
"UI typo affecting 0 users → SEV4 (even if 2-week fix)"
Severity = User Impact, not Engineering Effort
Mistake 2: Internal vs External Impact
❌ Wrong:
"Internal dashboard down → SEV1"
✓ Right:
"Internal dashboard down → SEV2 or SEV3"
(Unless it blocks customer support)
Customer-facing > Internal tools
Mistake 3: Potential vs Actual Impact
❌ Wrong:
"Security vulnerability discovered → SEV0"
✓ Right:
"Security vulnerability being exploited → SEV0"
"Security vulnerability discovered (not exploited) → SEV1 or SEV2"
Actual impact > Potential impact
Mistake 4: Over-Escalation
❌ Wrong:
"Single user reports UI glitch → SEV1"
✓ Right:
"Single user reports UI glitch → SEV3 or SEV4"
Don't cry wolf - save SEV0/1 for real emergencies
Mistake 5: Under-Escalation
❌ Wrong:
"50% error rate for 2 hours → SEV2"
✓ Right:
"50% error rate for 2 hours → SEV1"
Don't minimize serious issues
12. Industry Standards Comparison
Tech Company Standards
Google:
P0 = SEV0 (complete outage)
P1 = SEV1 (major impact)
P2 = SEV2 (moderate impact)
P3 = SEV3 (minor impact)
P4 = SEV4 (trivial)
Amazon:
SEV1 = Critical (customer-facing outage)
SEV2 = High (significant degradation)
SEV3 = Medium (minor degradation)
SEV4 = Low (cosmetic)
SEV5 = Trivial
Microsoft:
Sev A = Critical
Sev B = High
Sev C = Medium
Sev D = Low
Atlassian:
P1 = Critical (system down)
P2 = High (major feature broken)
P3 = Medium (minor feature broken)
P4 = Low (cosmetic)
ITIL Standards
Priority 1: Critical
- Complete service outage
- Response: Immediate
- Resolution: 4 hours
Priority 2: High
- Significant degradation
- Response: 1 hour
- Resolution: 24 hours
Priority 3: Medium
- Minor degradation
- Response: 4 hours
- Resolution: 1 week
Priority 4: Low
- Cosmetic issue
- Response: 1 day
- Resolution: 1 month
13. Customizing Severity for Your Organization
Factors to Consider
1. Company Size
- Startup: 3 levels (Critical, High, Low)
- Enterprise: 5 levels (SEV0-SEV4)
2. Industry
- Healthcare: Stricter (patient safety)
- Gaming: More lenient (entertainment)
- Finance: Stricter (regulatory)
3. Customer Base
- B2C: User count matters
- B2B: Contract SLAs matter
- Enterprise: Single customer = high severity
4. Business Model
- E-commerce: Revenue impact critical
- SaaS: Uptime critical
- Freemium: Paying users > free users
Customization Template
interface CustomSeverityDefinition {
level: string;
name: string;
description: string;
criteria: {
usersAffected: string;
businessImpact: string;
examples: string[];
};
response: {
acknowledgement: number;
initialResponse: number;
updateFrequency: number;
resolutionTarget: number;
};
communication: {
internal: string[];
external: string[];
};
postIncident: {
postmortemRequired: boolean;
executiveReview: boolean;
};
}
// Example: E-commerce company
const customSeverities: CustomSeverityDefinition[] = [
{
level: 'SEV0',
name: 'Critical - Revenue Impacting',
description: 'Complete inability to process orders',
criteria: {
usersAffected: '100% or major revenue impact',
businessImpact: '> $50k/hour revenue loss',
examples: [
'Checkout completely broken',
'Payment processing down',
'Website completely unavailable'
]
},
response: {
acknowledgement: 5,
initialResponse: 10,
updateFrequency: 15,
resolutionTarget: 1
},
communication: {
internal: ['All hands', 'Executive notification', 'War room'],
external: ['Status page', 'Email to all customers', 'Social media']
},
postIncident: {
postmortemRequired: true,
executiveReview: true
}
}
];
14. Real Incident Severity Examples
Example 1: GitLab Database Incident (2017)
Incident: Accidental database deletion
Initial Classification: SEV0
Reasoning:
- 100% of users affected
- 6 hours of data lost
- Service completely unavailable
- No workaround
Response:
- All hands on deck
- 18 hours to full recovery
- Public postmortem published
Correct severity: SEV0 ✓
Example 2: AWS S3 Outage (2017)
Incident: S3 US-EAST-1 outage
Initial Classification: SEV0
Reasoning:
- Thousands of websites affected
- Complete S3 unavailability
- 4-hour duration
- Massive business impact
Response:
- All AWS teams mobilized
- Detailed postmortem
- Process changes implemented
Correct severity: SEV0 ✓
Example 3: Slack Outage (2021)
Incident: Slack service disruption
Initial Classification: SEV1
Reasoning:
- Most users could still access (degraded)
- Some features unavailable
- Intermittent issues
- Workarounds available
Response:
- Core team response
- Status page updates
- Resolved in 2 hours
Correct severity: SEV1 ✓
Example 4: GitHub Actions Slow (2022)
Incident: GitHub Actions experiencing delays
Initial Classification: SEV2
Reasoning:
- Service still functional
- Delays but not failures
- Subset of users affected
- Non-critical feature
Response:
- Engineering team investigation
- Status page update
- Resolved in 4 hours
Correct severity: SEV2 ✓
Summary
Key takeaways for Severity Levels:
- Classify based on user impact - Not engineering effort
- Use consistent definitions - Everyone should agree what SEV1 means
- Escalate when needed - Duration and scope changes matter
- Communicate appropriately - SEV0 needs more communication than SEV4
- Allocate resources correctly - Don't wake everyone for SEV3
- Follow SLAs - Response times should match severity
- Require postmortems for SEV0/1 - Learn from major incidents
- Customize for your org - But stay close to industry standards
- Avoid common mistakes - Don't over or under-escalate
- Document everything - Severity classification reasoning
Related Skills
-
41-incident-management/incident-triage- Initial assessment and classification -
41-incident-management/escalation-paths- When and how to escalate -
41-incident-management/stakeholder-communication- Communication by severity -
40-system-resilience/postmortem-analysis- Post-incident learning
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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