Apollo Incident Runbook

---
name: apollo-incident-runbook-2f7af2a18bdb
description: |
  Apollo.io incident response procedures.
  Use when handling Apollo outages, debugging production issues,
  or responding to integration failures.
  Trigger with phrases like "apollo incident", "apollo outage",
  "apollo down", "apollo production issue", "apollo emergency".
allowed-tools: Read, Write, Edit, Bash(kubectl:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---

# Apollo Incident Runbook

## Overview
Structured incident response procedures for Apollo.io integration issues with diagnosis steps, mitigation actions, and recovery procedures.

## Incident Classification

| Severity | Impact | Response Time | Examples |
|----------|--------|---------------|----------|
| P1 - Critical | Complete outage | 15 min | API down, auth failed |
| P2 - Major | Degraded service | 1 hour | High error rate, slow responses |
| P3 - Minor | Limited impact | 4 hours | Cache issues, minor errors |
| P4 - Low | No user impact | Next day | Log warnings, cosmetic issues |

## Quick Diagnosis Commands

```bash
# Check Apollo status
curl -s https://status.apollo.io/api/v2/status.json | jq '.status'

# Verify API key
curl -s "https://api.apollo.io/v1/auth/health?api_key=$APOLLO_API_KEY" | jq

# Check rate limit status
curl -I "https://api.apollo.io/v1/people/search" \
  -H "Content-Type: application/json" \
  -d '{"api_key": "'$APOLLO_API_KEY'", "per_page": 1}' 2>/dev/null \
  | grep -i "ratelimit"

# Check application health
curl -s http://localhost:3000/health/apollo | jq

# Check error logs
kubectl logs -l app=apollo-service --tail=100 | grep -i error

# Check metrics
curl -s http://localhost:3000/metrics | grep apollo_
```

## Incident Response Procedures

### P1: Complete API Failure

**Symptoms:**
- All Apollo requests returning 5xx errors
- Health check endpoint failing
- Alerts firing on error rate

**Immediate Actions (0-15 min):**

```bash
# 1. Confirm Apollo is down (not just us)
curl -s https://status.apollo.io/api/v2/status.json | jq

# 2. Enable circuit breaker / fallback mode
kubectl set env deployment/apollo-service APOLLO_FALLBACK_MODE=true

# 3. Notify stakeholders
# Post to #incidents Slack channel

# 4. Check if it's our API key
curl -s "https://api.apollo.io/v1/auth/health?api_key=$APOLLO_API_KEY"
# If 401: Key is invalid - check if rotated
```

**Fallback Mode Implementation:**

```typescript
// src/lib/apollo/circuit-breaker.ts
class CircuitBreaker {
  private failures = 0;
  private lastFailure: Date | null = null;
  private isOpen = false;

  async execute<T>(fn: () => Promise<T>, fallback: () => T): Promise<T> {
    if (this.isOpen) {
      if (this.shouldAttemptReset()) {
        this.isOpen = false;
      } else {
        console.warn('Circuit breaker open, using fallback');
        return fallback();
      }
    }

    try {
      const result = await fn();
      this.failures = 0;
      return result;
    } catch (error) {
      this.failures++;
      this.lastFailure = new Date();

      if (this.failures >= 5) {
        this.isOpen = true;
        console.error('Circuit breaker opened after 5 failures');
      }

      return fallback();
    }
  }

  private shouldAttemptReset(): boolean {
    if (!this.lastFailure) return true;
    const elapsed = Date.now() - this.lastFailure.getTime();
    return elapsed > 60000; // Try again after 1 minute
  }
}

// Fallback data source
async function getFallbackContacts(criteria: any) {
  // Return cached data
  const cached = await apolloCache.search(criteria);
  if (cached.length > 0) return cached;

  // Return empty with warning
  console.warn('No fallback data available');
  return [];
}
```

**Recovery Steps:**
```bash
# 1. Monitor Apollo status page for resolution
watch -n 30 'curl -s https://status.apollo.io/api/v2/status.json | jq'

# 2. When Apollo is back, disable fallback mode
kubectl set env deployment/apollo-service APOLLO_FALLBACK_MODE=false

# 3. Verify connectivity
curl -s "https://api.apollo.io/v1/auth/health?api_key=$APOLLO_API_KEY"

# 4. Check for request backlog
kubectl logs -l app=apollo-service | grep -c "queued"

# 5. Gradually restore traffic
kubectl scale deployment/apollo-service --replicas=1
# Wait, verify healthy
kubectl scale deployment/apollo-service --replicas=3
```

---

### P1: API Key Compromised

**Symptoms:**
- Unexpected 401 errors
- Unusual usage patterns
- Alert from Apollo about suspicious activity

**Immediate Actions:**

```bash
# 1. Rotate API key immediately in Apollo dashboard
# Settings > Integrations > API > Regenerate Key

# 2. Update secret in production
# Kubernetes
kubectl create secret generic apollo-secrets \
  --from-literal=api-key=NEW_KEY \
  --dry-run=client -o yaml | kubectl apply -f -

# 3. Restart deployments to pick up new key
kubectl rollout restart deployment/apollo-service

# 4. Audit usage logs
kubectl logs -l app=apollo-service --since=24h | grep "apollo_request"
```

**Post-Incident:**
- Review access controls
- Enable IP allowlisting if available
- Implement key rotation schedule

---

### P2: High Error Rate

**Symptoms:**
- Error rate > 5%
- Mix of successful and failed requests
- Alerts on `apollo_errors_total`

**Diagnosis:**

```bash
# Check error distribution
curl -s http://localhost:3000/metrics | grep apollo_errors_total

# Sample recent errors
kubectl logs -l app=apollo-service --tail=500 | grep -A2 "apollo_error"

# Check if specific endpoint is failing
curl -s http://localhost:3000/metrics | grep apollo_requests_total | sort
```

**Common Causes & Fixes:**

| Error Type | Likely Cause | Fix |
|------------|--------------|-----|
| validation_error | Bad request format | Check request payload |
| rate_limit | Too many requests | Enable backoff, reduce concurrency |
| auth_error | Key issue | Verify API key |
| timeout | Network/Apollo slow | Increase timeout, add retry |

**Mitigation:**

```bash
# Reduce request rate
kubectl set env deployment/apollo-service APOLLO_RATE_LIMIT=50

# Enable aggressive caching
kubectl set env deployment/apollo-service APOLLO_CACHE_TTL=3600

# Scale down to reduce load
kubectl scale deployment/apollo-service --replicas=1
```

---

### P2: Rate Limit Exceeded

**Symptoms:**
- 429 responses
- `apollo_rate_limit_hits_total` increasing
- Requests queuing

**Immediate Actions:**

```bash
# 1. Check current rate limit status
curl -I "https://api.apollo.io/v1/auth/health?api_key=$APOLLO_API_KEY" \
  | grep -i ratelimit

# 2. Pause non-essential operations
kubectl set env deployment/apollo-service \
  APOLLO_PAUSE_BACKGROUND_JOBS=true

# 3. Reduce concurrency
kubectl set env deployment/apollo-service \
  APOLLO_MAX_CONCURRENT=2

# 4. Wait for rate limit to reset (typically 1 minute)
sleep 60

# 5. Gradually resume
kubectl set env deployment/apollo-service \
  APOLLO_MAX_CONCURRENT=5 \
  APOLLO_PAUSE_BACKGROUND_JOBS=false
```

**Prevention:**
```typescript
// Implement request budgeting
class RequestBudget {
  private used = 0;
  private resetTime: Date;

  constructor(private limit: number = 90) {
    this.resetTime = this.getNextMinute();
  }

  async acquire(): Promise<boolean> {
    if (new Date() > this.resetTime) {
      this.used = 0;
      this.resetTime = this.getNextMinute();
    }

    if (this.used >= this.limit) {
      const waitMs = this.resetTime.getTime() - Date.now();
      console.warn(`Budget exhausted, waiting ${waitMs}ms`);
      await new Promise(r => setTimeout(r, waitMs));
      return this.acquire();
    }

    this.used++;
    return true;
  }

  private getNextMinute(): Date {
    const next = new Date();
    next.setSeconds(0, 0);
    next.setMinutes(next.getMinutes() + 1);
    return next;
  }
}
```

---

### P3: Slow Responses

**Symptoms:**
- P95 latency > 5 seconds
- Timeouts occurring
- User complaints about slow search

**Diagnosis:**

```bash
# Check latency metrics
curl -s http://localhost:3000/metrics \
  | grep apollo_request_duration

# Check Apollo's response time
time curl -s "https://api.apollo.io/v1/auth/health?api_key=$APOLLO_API_KEY"

# Check our application latency
kubectl top pods -l app=apollo-service
```

**Mitigation:**

```bash
# Increase timeout
kubectl set env deployment/apollo-service APOLLO_TIMEOUT=60000

# Enable request hedging (send duplicate requests)
kubectl set env deployment/apollo-service APOLLO_HEDGE_REQUESTS=true

# Reduce payload size (request fewer results)
kubectl set env deployment/apollo-service APOLLO_DEFAULT_PER_PAGE=25
```

## Post-Incident Template

```markdown
## Incident Report: [Title]

**Date:** [Date]
**Duration:** [Start] - [End] ([X] minutes)
**Severity:** P[1-4]
**Affected Systems:** Apollo integration

### Summary
[1-2 sentence description]

### Timeline
- HH:MM - Issue detected
- HH:MM - Investigation started
- HH:MM - Root cause identified
- HH:MM - Mitigation applied
- HH:MM - Service restored

### Root Cause
[Description of what caused the incident]

### Impact
- [Number] of failed requests
- [Number] of affected users
- [Duration] of degraded service

### Resolution
[What was done to fix the issue]

### Action Items
- [ ] [Preventive measure 1]
- [ ] [Preventive measure 2]
- [ ] [Monitoring improvement]

### Lessons Learned
[What we learned from this incident]
```

## Output
- Incident classification matrix
- Quick diagnosis commands
- Response procedures by severity
- Circuit breaker implementation
- Post-incident template

## Error Handling
| Issue | Escalation |
|-------|------------|
| P1 > 30 min | Page on-call lead |
| P2 > 2 hours | Notify management |
| Recurring P3 | Create P2 tracking |
| Apollo outage | Open support ticket |

## Resources
- [Apollo Status Page](https://status.apollo.io)
- [Apollo Support](https://support.apollo.io)
- [On-Call Runbook Template](https://sre.google/workbook/on-call/)

## Next Steps
Proceed to `apollo-data-handling` for data management.