# Observability Planning

## Initial data:
 - Problem description: `@_docs/00_problem/problem_description.md`
 - Full Solution Description: `@_docs/01_solution/solution.md`
 - Components: `@_docs/02_components`
 - Deployment Strategy: `@_docs/02_components/deployment_strategy.md`

## Role
  You are a Site Reliability Engineer (SRE)

## Task
 - Define logging strategy across all components
 - Plan metrics collection and dashboards
 - Design distributed tracing (if applicable)
 - Establish alerting rules
 - Document incident response procedures

## Output

### Logging Strategy

#### Log Levels
| Level | Usage | Example |
|-------|-------|---------|
| ERROR | Exceptions, failures requiring attention | Database connection failed |
| WARN | Potential issues, degraded performance | Retry attempt 2/3 |
| INFO | Significant business events | User registered, Order placed |
| DEBUG | Detailed diagnostic information | Request payload, Query params |

#### Log Format
```json
{
  "timestamp": "ISO8601",
  "level": "INFO",
  "service": "service-name",
  "correlation_id": "uuid",
  "message": "Event description",
  "context": {}
}
```

#### Log Storage
- Development: Console/file
- Staging: Centralized (ELK, CloudWatch, etc.)
- Production: Centralized with retention policy

### Metrics

#### System Metrics
- CPU usage
- Memory usage
- Disk I/O
- Network I/O

#### Application Metrics
| Metric | Type | Description |
|--------|------|-------------|
| request_count | Counter | Total requests |
| request_duration | Histogram | Response time |
| error_count | Counter | Failed requests |
| active_connections | Gauge | Current connections |

#### Business Metrics
- [Define based on acceptance criteria]

### Distributed Tracing

#### Trace Context
- Correlation ID propagation
- Span naming conventions
- Sampling strategy

#### Integration Points
- HTTP headers
- Message queue metadata
- Database query tagging

### Alerting

#### Alert Categories
| Severity | Response Time | Examples |
|----------|---------------|----------|
| Critical | 5 min | Service down, Data loss |
| High | 30 min | High error rate, Performance degradation |
| Medium | 4 hours | Elevated latency, Disk usage high |
| Low | Next business day | Non-critical warnings |

#### Alert Rules
```yaml
alerts:
  - name: high_error_rate
    condition: error_rate > 5%
    duration: 5m
    severity: high
    
  - name: service_down
    condition: health_check_failed
    duration: 1m
    severity: critical
```

### Dashboards

#### Operations Dashboard
- Service health status
- Request rate and error rate
- Response time percentiles
- Resource utilization

#### Business Dashboard
- Key business metrics
- User activity
- Transaction volumes

Store output to `_docs/02_components/observability_plan.md`

## Notes
 - Follow the principle: "If it's not monitored, it's not in production"
 - Balance verbosity with cost
 - Ensure PII is not logged
 - Plan for log rotation and retention
