Troubleshooting Guide Generator Command

Generate troubleshooting documentation

Instructions

Follow this systematic approach to create troubleshooting guides: $ARGUMENTS

1. System Overview and Architecture
2. Document the system architecture and components
3. Map out dependencies and integrations
4. Identify critical paths and failure points
5. Create system topology diagrams

6. Document data flow and communication patterns

7. Common Issues Identification

8. Collect historical support tickets and issues
9. Interview team members about frequent problems
10. Analyze error logs and monitoring data
11. Review user feedback and complaints

12. Identify patterns in system failures

13. Troubleshooting Framework

14. Establish systematic diagnostic procedures
15. Create problem isolation methodologies
16. Document escalation paths and procedures
17. Set up logging and monitoring checkpoints

18. Define severity levels and response times

19. Diagnostic Tools and Commands

## Essential Diagnostic Commands

### System Health
```bash
# Check system resources
top                    # CPU and memory usage
df -h                 # Disk space
free -m               # Memory usage
netstat -tuln         # Network connections

# Application logs
tail -f /var/log/app.log
journalctl -u service-name -f

# Database connectivity
mysql -u user -p -e "SELECT 1"
psql -h host -U user -d db -c "SELECT 1"

```

1. Issue Categories and Solutions

Performance Issues:

### Slow Response Times

**Symptoms:**
- API responses > 5 seconds
- User interface freezing
- Database timeouts

**Diagnostic Steps:**
1. Check system resources (CPU, memory, disk)
2. Review application logs for errors
3. Analyze database query performance
4. Check network connectivity and latency

**Common Causes:**
- Database connection pool exhaustion
- Inefficient database queries
- Memory leaks in application
- Network bandwidth limitations

**Solutions:**
- Restart application services
- Optimize database queries
- Increase connection pool size
- Scale infrastructure resources

1. Error Code Documentation

## Error Code Reference

### HTTP Status Codes
- **500 Internal Server Error**
  - Check application logs for stack traces
  - Verify database connectivity
  - Check environment variables

- **404 Not Found**
  - Verify URL routing configuration
  - Check if resources exist
  - Review API endpoint documentation

- **503 Service Unavailable**
  - Check service health status
  - Verify load balancer configuration
  - Check for maintenance mode

1. Environment-Specific Issues
2. Document development environment problems
3. Address staging/testing environment issues
4. Cover production-specific troubleshooting

5. Include local development setup problems

6. Database Troubleshooting

### Database Connection Issues

**Symptoms:**
- "Connection refused" errors
- "Too many connections" errors
- Slow query performance

**Diagnostic Commands:**
```sql
-- Check active connections
SHOW PROCESSLIST;

-- Check database size
SELECT table_schema, 
       ROUND(SUM(data_length + index_length) / 1024 / 1024, 1) AS 'DB Size in MB' 
FROM information_schema.tables 
GROUP BY table_schema;

-- Check slow queries
SHOW VARIABLES LIKE 'slow_query_log';

```

1. Network and Connectivity Issues

### Network Troubleshooting

**Basic Connectivity:**
```bash
# Test basic connectivity
ping example.com
telnet host port
curl -v https://api.example.com/health

# DNS resolution
nslookup example.com
dig example.com

# Network routing
traceroute example.com

SSL/TLS Issues:

# Check SSL certificate
openssl s_client -connect example.com:443
curl -vI https://example.com

```

1. Application-Specific Troubleshooting

   Memory Issues:

   ### Out of Memory Errors
   
   **Java Applications:**
   ```bash
   # Check heap usage
   jstat -gc [PID]
   jmap -dump:format=b,file=heapdump.hprof [PID]
   
   # Analyze heap dump
   jhat heapdump.hprof
   

   Node.js Applications:

   # Monitor memory usage
   node --inspect app.js
   # Use Chrome DevTools for memory profiling
   

   ```

2. Security and Authentication Issues

   ### Authentication Failures
   
   **Symptoms:**
   - 401 Unauthorized responses
   - Token validation errors
   - Session timeout issues
   
   **Diagnostic Steps:**
   1. Verify credentials and tokens
   2. Check token expiration
   3. Validate authentication service
   4. Review CORS configuration
   
   **Common Solutions:**
   - Refresh authentication tokens
   - Clear browser cookies/cache
   - Verify CORS headers
   - Check API key permissions
   

3. Deployment and Configuration Issues

   ### Deployment Failures
   
   **Container Issues:**
   ```bash
   # Check container status
   docker ps -a
   docker logs container-name
   
   # Check resource limits
   docker stats
   
   # Debug container
   docker exec -it container-name /bin/bash
   

   Kubernetes Issues:

   # Check pod status
   kubectl get pods
   kubectl describe pod pod-name
   kubectl logs pod-name
   
   # Check service connectivity
   kubectl get svc
   kubectl port-forward pod-name 8080:8080
   

   ```

4. Monitoring and Alerting Setup

   • Configure health checks and monitoring
   • Set up log aggregation and analysis
   • Implement alerting for critical issues
   • Create dashboards for system metrics
   • Document monitoring thresholds

5. Escalation Procedures

   ## Escalation Matrix
   
   ### Severity Levels
   
   **Critical (P1):** System down, data loss
   - Immediate response required
   - Escalate to on-call engineer
   - Notify management within 30 minutes
   
   **High (P2):** Major functionality impaired
   - Response within 2 hours
   - Escalate to senior engineer
   - Provide hourly updates
   
   **Medium (P3):** Minor functionality issues
   - Response within 8 hours
   - Assign to appropriate team member
   - Provide daily updates
   

6. Recovery Procedures

   • Document system recovery steps
   • Create data backup and restore procedures
   • Establish rollback procedures for deployments
   • Document disaster recovery processes
   • Test recovery procedures regularly

7. Preventive Measures

   • Implement monitoring and alerting
   • Set up automated health checks
   • Create deployment validation procedures
   • Establish code review processes
   • Document maintenance procedures

8. Knowledge Base Integration

   • Link to relevant documentation
   • Reference API documentation
   • Include links to monitoring dashboards
   • Connect to team communication channels
   • Integrate with ticketing systems

9. Team Communication

   ## Communication Channels
   
   ### Immediate Response
   - Slack: #incidents channel
   - Phone: On-call rotation
   - Email: alerts@company.com
   
   ### Status Updates
   - Status page: status.company.com
   - Twitter: @company_status
   - Internal wiki: troubleshooting section
   

10. Documentation Maintenance

    • Regular review and updates
    • Version control for troubleshooting guides
    • Feedback collection from users
    • Integration with incident post-mortems
    • Continuous improvement processes

11. Self-Service Tools

    • Create diagnostic scripts and tools
    • Build automated recovery procedures
    • Implement self-healing systems
    • Provide user-friendly diagnostic interfaces
    • Create chatbot integration for common issues

Advanced Troubleshooting Techniques:

Log Analysis:

# Search for specific errors
grep -i "error" /var/log/app.log | tail -50

# Analyze log patterns
awk '{print $1}' access.log | sort | uniq -c | sort -nr

# Monitor logs in real-time
tail -f /var/log/app.log | grep -i "exception"

Performance Profiling:

# System performance
iostat -x 1
sar -u 1 10
vmstat 1 10

# Application profiling
strace -p [PID]
perf record -p [PID]

Remember to: - Keep troubleshooting guides up-to-date - Test all documented procedures regularly - Collect feedback from users and improve guides - Include screenshots and visual aids where helpful - Make guides searchable and well-organized