Appmetrics C# (How It Works For Developers)

AppMetrics C# is a powerful tool designed to streamline application monitoring and performance analysis. With App Metrics abstracts, it simplifies the complexity involved in tracking various aspects of your application. Whether you're using .NET Core or the .NET Framework, this .NET library enables you to record metric types efficiently. You can retrieve metrics and utilize metrics types supported by App Metrics for comprehensive insights.

The .NET library supports retrieving metrics and allows you to flush metrics at a specified interval, ensuring timely data collection. It also offers an extension method, providing extensibility points for enhanced flexibility. As a cross-platform solution, AppMetrics is suitable for diverse environments and ensures consistent performance monitoring.

IronPDF is another essential library for C# developers, especially when working with PDF documents. It enables the creation, editing, and extraction of PDF files directly within .NET Core applications. This can be particularly useful in scenarios where you need to generate reports, invoices, or any other document in PDF format from your application.

Getting Started with AppMetrics

To integrate cross-platform App Metrics into your .NET project, you begin by installing the AppMetrics library. You can do this using NuGet packages, the package manager for .NET. In your project, run the following command in the NuGet Package Manager Console:

Install-Package App.Metrics.AspNetCore

Install-Package App.Metrics.AspNetCore

'INSTANT VB TODO TASK: The following line uses invalid syntax:
'Install-Package App.Metrics.AspNetCore

This command adds all necessary dependencies to your project, enabling you to start configuring AppMetrics.

A Basic Code Example: Monitoring HTTP Requests

Here's how you can set up basic monitoring for HTTP requests in your .NET application using AppMetrics. First, build the metrics in your Startup.cs file. Add the following code to the ConfigureServices method:

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetrics(); // metric type
    services.AddMetricsTrackingMiddleware();
    services.AddMetricsEndpoints();
}

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetrics(); // metric type
    services.AddMetricsTrackingMiddleware();
    services.AddMetricsEndpoints();
}

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetrics() ' metric type
	services.AddMetricsTrackingMiddleware()
	services.AddMetricsEndpoints()
End Sub

Next, in the Configure method of the same file, ensure you add the AppMetrics middleware to handle the monitoring:

public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
    app.UseMetricsAllMiddleware();
}

public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
    app.UseMetricsAllMiddleware();
}

Public Sub Configure(ByVal app As IApplicationBuilder, ByVal env As IWebHostEnvironment)
	app.UseMetricsAllMiddleware()
End Sub

This setup automatically starts capturing metrics about the incoming HTTP requests to your application, such as request count, request duration, and error rates.

Implement Features of App Metrics

Recording Custom Metrics

To create and record custom metrics or measure things in your application, AppMetrics provides a flexible way to define what needs tracking. Here's an example of recording a simple counter to track user logins:

public class LoginTracker
{
    private readonly IMetrics _metrics;
    public LoginTracker(IMetrics metrics)
    {
        _metrics = metrics;
    }
    public void TrackLogin(string userId)
    {
        _metrics.Measure.Counter.Increment(MetricsRegistry.Logins, new MetricTags("UserId", userId));
    }
}

public class LoginTracker
{
    private readonly IMetrics _metrics;
    public LoginTracker(IMetrics metrics)
    {
        _metrics = metrics;
    }
    public void TrackLogin(string userId)
    {
        _metrics.Measure.Counter.Increment(MetricsRegistry.Logins, new MetricTags("UserId", userId));
    }
}

Public Class LoginTracker
	Private ReadOnly _metrics As IMetrics
	Public Sub New(ByVal metrics As IMetrics)
		_metrics = metrics
	End Sub
	Public Sub TrackLogin(ByVal userId As String)
		_metrics.Measure.Counter.Increment(MetricsRegistry.Logins, New MetricTags("UserId", userId))
	End Sub
End Class

In this code, each time TrackLogin is called, the login counter increases for the specified user ID.

Measuring Application Performance

AppMetrics can also be used to measure app performance. For example, you can track the duration of a specific method using timers:

public void ProcessData()
{
    using (_metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer))
    {
        // Code to execute a database query
    }
}

public void ProcessData()
{
    using (_metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer))
    {
        // Code to execute a database query
    }
}

Public Sub ProcessData()
	Using _metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer)
		' Code to execute a database query
	End Using
End Sub

This timer records how long the ProcessData method takes to execute, providing insights into the performance of database queries.

Reporting Metrics to a Dashboard

To visualize and monitor your various metric types, AppMetrics can report data to different dashboards. Here is how you can configure reporting to an InfluxDB dashboard:

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetricsReportingHostedService();
    services.AddMetricsBuild(builder =>
    {
        builder.Report.ToInfluxDb(options =>
        {
            options.InfluxDb.BaseUri = new Uri("http://your-influxdb-server");
            options.InfluxDb.Database = "appmetricsdb";
            options.InfluxDb.UserName = "user";
            options.InfluxDb.Password = "password";
            options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30);
            options.HttpPolicy.FailuresBeforeBackoff = 5;
            options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10);
            options.FlushInterval = TimeSpan.FromSeconds(5);
        });
    });
}

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetricsReportingHostedService();
    services.AddMetricsBuild(builder =>
    {
        builder.Report.ToInfluxDb(options =>
        {
            options.InfluxDb.BaseUri = new Uri("http://your-influxdb-server");
            options.InfluxDb.Database = "appmetricsdb";
            options.InfluxDb.UserName = "user";
            options.InfluxDb.Password = "password";
            options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30);
            options.HttpPolicy.FailuresBeforeBackoff = 5;
            options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10);
            options.FlushInterval = TimeSpan.FromSeconds(5);
        });
    });
}

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetricsReportingHostedService()
	services.AddMetricsBuild(Sub(builder)
		builder.Report.ToInfluxDb(Sub(options)
			options.InfluxDb.BaseUri = New Uri("http://your-influxdb-server")
			options.InfluxDb.Database = "appmetricsdb"
			options.InfluxDb.UserName = "user"
			options.InfluxDb.Password = "password"
			options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30)
			options.HttpPolicy.FailuresBeforeBackoff = 5
			options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10)
			options.FlushInterval = TimeSpan.FromSeconds(5)
		End Sub)
	End Sub)
End Sub

Tracking Memory Usage

Monitoring system memory usage is crucial for performance tuning. Here’s how you can track free memory:

public void CheckSystemMemory()
{
    var freeMemory = GC.GetTotalMemory(false);
    _metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory);
}

public void CheckSystemMemory()
{
    var freeMemory = GC.GetTotalMemory(false);
    _metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory);
}

Public Sub CheckSystemMemory()
	Dim freeMemory = GC.GetTotalMemory(False)
	_metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory)
End Sub

This gauge measures the free memory available to your application, helping you understand memory consumption patterns.

Handling Metrics at Specified Intervals

AppMetrics can be configured to handle metrics collection at specified intervals. This helps in maintaining performance without logging data too frequently:

public void ConfigureScheduledReporting(IApplicationBuilder app)
{
    var metrics = app.ApplicationServices.GetService<IMetricsRoot>();
    var scheduler = new AppMetricsTaskScheduler(
        TimeSpan.FromSeconds(60),
        async () =>
        {
            await Task.WhenAll(metrics.ReportRunner.RunAllAsync()); // await task
        });
    scheduler.Start();
}

public void ConfigureScheduledReporting(IApplicationBuilder app)
{
    var metrics = app.ApplicationServices.GetService<IMetricsRoot>();
    var scheduler = new AppMetricsTaskScheduler(
        TimeSpan.FromSeconds(60),
        async () =>
        {
            await Task.WhenAll(metrics.ReportRunner.RunAllAsync()); // await task
        });
    scheduler.Start();
}

Public Sub ConfigureScheduledReporting(ByVal app As IApplicationBuilder)
	Dim metrics = app.ApplicationServices.GetService(Of IMetricsRoot)()
	Dim scheduler = New AppMetricsTaskScheduler(TimeSpan.FromSeconds(60), Async Sub()
			Await Task.WhenAll(metrics.ReportRunner.RunAllAsync()) ' await task
	End Sub)
	scheduler.Start()
End Sub

This configuration sets the metrics to be reported every 60 seconds, ensuring consistent performance monitoring without overwhelming the system with continuous data logging.

Integrating AppMetrics with IronPDF

When working with metrics and PDF generation in your C# applications, combining AppMetrics C# with IronPDF can be very beneficial. This integration allows you to generate reports in PDF format directly from your metrics data, which is useful for performance reviews, client presentations, or even internal audits.

Introduction to IronPDF

IronPDF is a comprehensive library that enables developers to create, read, and edit PDF documents using C#. What sets IronPDF apart is its ability to convert HTML to PDF, making it particularly valuable for web-based report generation. This capability ensures that the visual aspects of your reports are preserved, offering a high degree of fidelity from web to print form.

Use Case of Merging IronPDF with AppMetrics C#

Consider a scenario where you need to provide monthly performance reports of your application to stakeholders. These reports include metrics like response times, error rates, user sessions, and more. With open-source AppMetrics C#, you can capture these metrics seamlessly. By merging this functionality with IronPDF, you can automatically generate and distribute these metrics in a neatly formatted PDF document.

Code Example of Use Case

Below is a complete example of how to implement this. This example assumes you have already set up both IronPDF and AppMetrics C# in your project.

using App.Metrics;
using App.Metrics.Formatters.Prometheus;
using IronPdf;
public class MetricsToPdfConverter
{
    private readonly IMetricsRoot _metrics;
    public MetricsToPdfConverter(IMetricsRoot metrics)
    {
        _metrics = metrics;
    }
    public void GeneratePdfReport(string outputPath)
    {
        // Step 1: Capture the metrics snapshot
        var metricsData = _metrics.Snapshot.Get();
        var formatter = new MetricsPrometheusTextOutputFormatter();
        using var stream = new MemoryStream();
        formatter.WriteAsync(stream, metricsData).Wait();
        // Step 2: Convert the metrics snapshot to string format
        stream.Position = 0;
        var reader = new StreamReader(stream);
        var metricsText = reader.ReadToEnd();
        // Step 3: Use IronPDF to convert the metrics text to a PDF document
        var renderer = new ChromePdfRenderer();
        var pdf = renderer.RenderHtmlAsPdf("<h1> Metrics Report </h1> <pre>" + metricsText + "</pre>");
        // Step 4: Save the PDF document
        pdf.SaveAs(outputPath);
    }
}
// Usage
var metrics = new MetricsBuilder().Build();
var pdfConverter = new MetricsToPdfConverter(metrics);
pdfConverter.GeneratePdfReport("MonthlyPerformanceReport.pdf");

using App.Metrics;
using App.Metrics.Formatters.Prometheus;
using IronPdf;
public class MetricsToPdfConverter
{
    private readonly IMetricsRoot _metrics;
    public MetricsToPdfConverter(IMetricsRoot metrics)
    {
        _metrics = metrics;
    }
    public void GeneratePdfReport(string outputPath)
    {
        // Step 1: Capture the metrics snapshot
        var metricsData = _metrics.Snapshot.Get();
        var formatter = new MetricsPrometheusTextOutputFormatter();
        using var stream = new MemoryStream();
        formatter.WriteAsync(stream, metricsData).Wait();
        // Step 2: Convert the metrics snapshot to string format
        stream.Position = 0;
        var reader = new StreamReader(stream);
        var metricsText = reader.ReadToEnd();
        // Step 3: Use IronPDF to convert the metrics text to a PDF document
        var renderer = new ChromePdfRenderer();
        var pdf = renderer.RenderHtmlAsPdf("<h1> Metrics Report </h1> <pre>" + metricsText + "</pre>");
        // Step 4: Save the PDF document
        pdf.SaveAs(outputPath);
    }
}
// Usage
var metrics = new MetricsBuilder().Build();
var pdfConverter = new MetricsToPdfConverter(metrics);
pdfConverter.GeneratePdfReport("MonthlyPerformanceReport.pdf");

Imports App.Metrics
Imports App.Metrics.Formatters.Prometheus
Imports IronPdf
Public Class MetricsToPdfConverter
	Private ReadOnly _metrics As IMetricsRoot
	Public Sub New(ByVal metrics As IMetricsRoot)
		_metrics = metrics
	End Sub
	Public Sub GeneratePdfReport(ByVal outputPath As String)
		' Step 1: Capture the metrics snapshot
		Dim metricsData = _metrics.Snapshot.Get()
		Dim formatter = New MetricsPrometheusTextOutputFormatter()
		Dim stream = New MemoryStream()
		formatter.WriteAsync(stream, metricsData).Wait()
		' Step 2: Convert the metrics snapshot to string format
		stream.Position = 0
		Dim reader = New StreamReader(stream)
		Dim metricsText = reader.ReadToEnd()
		' Step 3: Use IronPDF to convert the metrics text to a PDF document
		Dim renderer = New ChromePdfRenderer()
		Dim pdf = renderer.RenderHtmlAsPdf("<h1> Metrics Report </h1> <pre>" & metricsText & "</pre>")
		' Step 4: Save the PDF document
		pdf.SaveAs(outputPath)
	End Sub
End Class
' Usage
Private metrics = (New MetricsBuilder()).Build()
Private pdfConverter = New MetricsToPdfConverter(metrics)
pdfConverter.GeneratePdfReport("MonthlyPerformanceReport.pdf")

This integration not only automates the process of report generation but also ensures that the reports are easily readable and professionally formatted, perfect for any stakeholder meetings or archival purposes.

Conclusion

In summary, combining AppMetrics C# with IronPDF in your .NET projects provides a robust solution for both monitoring application performance and generating high-quality PDF reports. This integration allows you to seamlessly transition from capturing detailed performance data with AppMetrics to presenting it in a clear, professional format using IronPDF.

IronPDF is especially beneficial for C# developers looking to handle PDF files within their applications. It simplifies the creation and manipulation of PDF documents and offers a unique capability to convert HTML directly to PDF. If you're considering incorporating IronPDF into your projects, they offer a free trial to get you started, and licenses begin at $749, providing a cost-effective way to enhance your document handling capabilities.