# Advanced Monitoring & Alerting Guide

**Date**: 2025-01-27
**Purpose**: Guide for advanced monitoring and alerting setup
**Status**: Complete

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## Overview

This guide provides strategies for implementing advanced monitoring and alerting across the integrated workspace.

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## Monitoring Stack

### Components

1. **Prometheus** - Metrics collection
2. **Grafana** - Visualization and dashboards
3. **Loki** - Log aggregation
4. **Alertmanager** - Alert routing
5. **Jaeger** - Distributed tracing

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## Metrics Collection

### Application Metrics

#### Custom Metrics
```typescript
import { Counter, Histogram } from 'prom-client';

const requestCounter = new Counter({
  name: 'http_requests_total',
  help: 'Total HTTP requests',
  labelNames: ['method', 'route', 'status'],
});

const requestDuration = new Histogram({
  name: 'http_request_duration_seconds',
  help: 'HTTP request duration',
  labelNames: ['method', 'route'],
});
```

#### Business Metrics
- Transaction volume
- User activity
- Revenue metrics
- Conversion rates

### Infrastructure Metrics

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

#### Kubernetes Metrics
- Pod status
- Resource usage
- Node health
- Cluster capacity

---

## Dashboards

### Application Dashboard

**Key Panels**:
- Request rate
- Response times (p50, p95, p99)
- Error rates
- Active users

### Infrastructure Dashboard

**Key Panels**:
- Resource utilization
- Pod status
- Node health
- Network traffic

### Business Dashboard

**Key Panels**:
- Transaction volume
- Revenue metrics
- User activity
- Conversion rates

---

## Alerting Rules

### Critical Alerts

```yaml
groups:
  - name: critical
    rules:
      - alert: HighErrorRate
        expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.1
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "High error rate detected"

      - alert: ServiceDown
        expr: up{job="api"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Service is down"
```

### Warning Alerts

```yaml
      - alert: HighLatency
        expr: histogram_quantile(0.95, http_request_duration_seconds) > 1
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "High latency detected"
```

---

## Log Aggregation

### Structured Logging

```typescript
import winston from 'winston';

const logger = winston.createLogger({
  format: winston.format.json(),
  transports: [
    new winston.transports.Console(),
  ],
});

logger.info('Request processed', {
  method: 'GET',
  path: '/api/users',
  status: 200,
  duration: 45,
  userId: '123',
});
```

### Log Levels
- **ERROR**: Errors requiring attention
- **WARN**: Warnings
- **INFO**: Informational messages
- **DEBUG**: Debug information

---

## Distributed Tracing

### OpenTelemetry

```typescript
import { trace } from '@opentelemetry/api';

const tracer = trace.getTracer('my-service');

const span = tracer.startSpan('process-request');
try {
  // Process request
  span.setStatus({ code: SpanStatusCode.OK });
} catch (error) {
  span.setStatus({ code: SpanStatusCode.ERROR });
  span.recordException(error);
} finally {
  span.end();
}
```

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## Best Practices

### Metrics
- Use consistent naming
- Include relevant labels
- Avoid high cardinality
- Document metrics

### Alerts
- Set appropriate thresholds
- Avoid alert fatigue
- Use alert grouping
- Test alert delivery

### Logs
- Use structured logging
- Include correlation IDs
- Don't log sensitive data
- Set appropriate levels

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**Last Updated**: 2025-01-27