veza/k8s/monitoring/README.md

# Monitoring and Logging Setup

This directory contains Kubernetes manifests for monitoring and logging infrastructure.

## Components

### Prometheus
- **Purpose**: Metrics collection and alerting
- **Port**: 9090
- **Storage**: 50Gi PVC
- **Retention**: 30 days

### Grafana
- **Purpose**: Metrics visualization and dashboards
- **Port**: 3000
- **Storage**: 10Gi PVC
- **Default User**: admin (password from secret)

### Loki
- **Purpose**: Log aggregation
- **Port**: 3100
- **Storage**: 50Gi PVC
- **Retention**: 30 days

### Promtail
- **Purpose**: Log collection agent (DaemonSet)
- **Port**: 9080
- **Collects**: Pod logs from all nodes

## Deployment

### 1. Deploy Prometheus

```bash
kubectl apply -f k8s/monitoring/prometheus-configmap.yaml
kubectl apply -f k8s/monitoring/prometheus-deployment.yaml
```

### 2. Deploy Grafana

```bash
kubectl apply -f k8s/monitoring/grafana-deployment.yaml
```

**Note**: Make sure to set `grafana-password` in `veza-secrets`:

```bash
kubectl create secret generic veza-secrets \
  --from-literal=grafana-password=your-secure-password \
  -n veza-production \
  --dry-run=client -o yaml | kubectl apply -f -
```

### 3. Deploy Loki

```bash
kubectl apply -f k8s/monitoring/loki-deployment.yaml
```

### 4. Deploy Promtail

```bash
kubectl apply -f k8s/monitoring/promtail-deployment.yaml
```

## Access

### Prometheus
```bash
kubectl port-forward service/prometheus 9090:9090 -n veza-production
# Access at http://localhost:9090
```

### Grafana
```bash
kubectl port-forward service/grafana 3000:3000 -n veza-production
# Access at http://localhost:3000
# Default credentials: admin / (from secret)
```

### Loki
```bash
kubectl port-forward service/loki 3100:3100 -n veza-production
# Access at http://localhost:3100
```

## Integration with Services

All services should expose metrics at `/metrics` endpoint. Prometheus will automatically discover and scrape them using Kubernetes service discovery.

### Adding Metrics to Services

1. **Backend API (Go)**: Already has Prometheus metrics via `internal/metrics/prometheus.go`
2. **Chat Server (Rust)**: Already has Prometheus metrics
3. **Stream Server (Rust)**: Already has Prometheus metrics

### Viewing Logs in Grafana

1. Add Loki as a data source in Grafana:
   - URL: `http://loki:3100`
   - Access: Server (default)

2. Use LogQL queries:
   ```
   {namespace="veza-production", app="veza-backend-api"}
   ```

## Dashboards

Grafana will automatically provision dashboards from ConfigMaps. To add custom dashboards:

1. Create a ConfigMap with dashboard JSON
2. Mount it in Grafana deployment
3. Grafana will auto-discover and load it

## Alerts

Prometheus alerting rules can be added via ConfigMap. Create rules files and mount them in Prometheus deployment.

## Troubleshooting

### Check Prometheus Targets
```bash
kubectl port-forward service/prometheus 9090:9090 -n veza-production
# Visit http://localhost:9090/targets
```

### Check Promtail Logs
```bash
kubectl logs -f daemonset/promtail -n veza-production
```

### Check Loki Logs
```bash
kubectl logs -f deployment/loki -n veza-production
```

### Verify Service Discovery
```bash
kubectl get pods -n veza-production -l app=veza-backend-api
kubectl get pods -n veza-production -l app=veza-chat-server
```