---

name: grafana-logging description: Grafana dashboards and metrics logging

Grafana Logging

Metrics, dashboards, and alerting with Grafana.

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Key Metrics

Application Metrics

Metric	Description
Request rate	Requests per second
Error rate	Errors per second
Duration	Response time percentiles
Active requests	Concurrent requests

Infrastructure Metrics

Metric	Description
CPU usage	Percentage used
Memory usage	Bytes used
Disk I/O	Read/write operations
Network	Bytes in/out

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Prometheus Metrics (ASP.NET)

// Install package
// dotnet add package prometheus-net.AspNetCore

// Program.cs
app.UseMetricServer();  // /metrics endpoint
app.UseHttpMetrics();   // HTTP request metrics

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Custom Metrics

using Prometheus;

public class OrderService
{
    private static readonly Counter OrdersCreated = Metrics
        .CreateCounter("orders_created_total", "Total orders created");
    
    private static readonly Histogram OrderDuration = Metrics
        .CreateHistogram("order_duration_seconds", "Order processing time");
    
    public async Task CreateOrder(Order order)
    {
        using (OrderDuration.NewTimer())
        {
            await ProcessOrder(order);
            OrdersCreated.Inc();
        }
    }
}

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Dashboard Queries

# Request rate
rate(http_requests_total[5m])

# Error rate
rate(http_requests_total{status=~"5.."}[5m])

# 95th percentile latency
histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))

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Alerting

# Alert rule
- alert: HighErrorRate
  expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.1
  for: 5m
  labels:
    severity: critical
  annotations:
    summary: High error rate detected

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DO / DON'T

✅ Do	❌ Don't
RED method (Rate, Error, Duration)	Track everything
Set alerting thresholds	Alert fatigue
Dashboard per service	One giant dashboard