What is AppMetrics C# and how does it benefit developers?

AppMetrics C# is a tool designed to streamline application monitoring and performance analysis by simplifying the complexity of tracking various application metrics. It allows developers to efficiently monitor app performance, retrieve metrics, and offers extensibility points for enhanced flexibility.

How can developers integrate AppMetrics into their .NET projects?

Developers can integrate AppMetrics into their .NET projects by installing the AppMetrics library via NuGet packages. This involves executing the command 'Install-Package App.Metrics.AspNetCore' in the NuGet Package Manager Console.

What are some basic functionalities provided by AppMetrics?

AppMetrics provides functionalities such as monitoring HTTP requests, recording custom metrics, measuring application performance, and reporting metrics to dashboards like InfluxDB, enabling comprehensive performance analysis.

Can AppMetrics track the memory usage of a .NET application?

Yes, AppMetrics can track system memory usage by measuring available free memory through the use of gauge measurements, which helps in understanding memory consumption patterns.

How can you use IronPDF alongside AppMetrics in a project?

IronPDF can be used alongside AppMetrics to generate PDF reports directly from the captured metrics data, automating the process of creating and distributing performance reports in a professional format suitable for stakeholder review or archiving.

What capabilities does IronPDF offer to C# developers?

IronPDF enables C# developers to create, read, and edit PDF documents. It includes features like converting HTML to PDF, making it highly valuable for generating web-based reports in PDF format.

Why is it important to measure application performance using AppMetrics?

Measuring application performance with AppMetrics is crucial as it provides insights into critical metrics like request duration, error rates, and response times, allowing developers to optimize and maintain efficient performance.

How does AppMetrics handle metrics collection frequency?

AppMetrics allows configuring the frequency of metrics collection through task scheduling, ensuring that data is logged at specified intervals to balance consistent monitoring with system performance.

What are the advantages of using AppMetrics in cross-platform environments?

AppMetrics is advantageous in cross-platform environments as it ensures consistent performance monitoring across diverse setups, supporting both .NET Core and .NET Framework applications.

Is it possible to visualize AppMetrics data on a dashboard?

Yes, AppMetrics supports reporting metrics to various dashboards, such as InfluxDB, to visualize and monitor the data effectively, thereby enhancing the analytical insights derived from application metrics.

The C# PDF Library

Explore IronPDF Start Free Trial

HTML to PDF

Online Demo See All Code Examples

using IronPdf;

// Disable local disk access or cross-origin requests
Installation.EnableWebSecurity = true;

// Instantiate Renderer
var renderer = new ChromePdfRenderer();

// Create a PDF from a HTML string using C#
var pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>");

// Export to a file or Stream
pdf.SaveAs("output.pdf");

// Advanced Example with HTML Assets
// Load external html assets: Images, CSS and JavaScript.
// An optional BasePath 'C:\site\assets\' is set as the file location to load assets from
var myAdvancedPdf = renderer.RenderHtmlAsPdf("<img src='icons/iron.png'>", @"C:\site\assets\");
myAdvancedPdf.SaveAs("html-with-assets.pdf");

using IronPdf;

// Disable local disk access or cross-origin requests
Installation.EnableWebSecurity = true;

// Instantiate Renderer
var renderer = new ChromePdfRenderer();

// Create a PDF from a HTML string using C#
var pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1>");

// Export to a file or Stream
pdf.SaveAs("output.pdf");

// Advanced Example with HTML Assets
// Load external html assets: Images, CSS and JavaScript.
// An optional BasePath 'C:\site\assets\' is set as the file location to load assets from
var myAdvancedPdf = renderer.RenderHtmlAsPdf("<img src='icons/iron.png'>", @"C:\site\assets\");
myAdvancedPdf.SaveAs("html-with-assets.pdf");

PM >Install-Package IronPdf

Install-Package IronPdf

.NET HELP

Appmetrics C# (How It Works For Developers)

Jacob Mellor

Updated: August 1, 2026

AppMetrics C# is a powerful tool designed to streamline application monitoring and performance analysis. With AppMetrics 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 metric types supported by AppMetrics 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: Advanced PDF Library for C# Developers 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 AppMetrics 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:

PM > Install-Package App.Metrics.AspNetCore

Install-Package App.Metrics.AspNetCore

Appmetrics C# (How It Works For Developers): Figure 1 - AppMetrics

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(); // Add basic metrics services
    services.AddMetricsTrackingMiddleware(); // Enable middleware for tracking
    services.AddMetricsEndpoints(); // Add endpoints for metrics exposure
}

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetrics(); // Add basic metrics services
    services.AddMetricsTrackingMiddleware(); // Enable middleware for tracking
    services.AddMetricsEndpoints(); // Add endpoints for metrics exposure
}

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetrics() ' Add basic metrics services
	services.AddMetricsTrackingMiddleware() ' Enable middleware for tracking
	services.AddMetricsEndpoints() ' Add endpoints for metrics exposure
End Sub

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetrics() ' Add basic metrics services
	services.AddMetricsTrackingMiddleware() ' Enable middleware for tracking
	services.AddMetricsEndpoints() ' Add endpoints for metrics exposure
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(); // Register the middleware to capture all metrics
}

public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
    app.UseMetricsAllMiddleware(); // Register the middleware to capture all metrics
}

Public Sub Configure(ByVal app As IApplicationBuilder, ByVal env As IWebHostEnvironment)
	app.UseMetricsAllMiddleware() ' Register the middleware to capture all metrics
End Sub

Public Sub Configure(ByVal app As IApplicationBuilder, ByVal env As IWebHostEnvironment)
	app.UseMetricsAllMiddleware() ' Register the middleware to capture all metrics
End Sub

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

Implement Features of AppMetrics

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)
    {
        // Increment login counter for the specified user ID
        _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)
    {
        // Increment login counter for the specified user ID
        _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)
		' Increment login counter for the specified user ID
		_metrics.Measure.Counter.Increment(MetricsRegistry.Logins, New MetricTags("UserId", userId))
	End Sub
End Class

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)
		' Increment login counter for the specified user ID
		_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()
{
    // Measure time taken by the database query process
    using (_metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer))
    {
        // Code to execute a database query goes here
    }
}

public void ProcessData()
{
    // Measure time taken by the database query process
    using (_metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer))
    {
        // Code to execute a database query goes here
    }
}

Public Sub ProcessData()
	' Measure time taken by the database query process
	Using _metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer)
		' Code to execute a database query goes here
	End Using
End Sub

Public Sub ProcessData()
	' Measure time taken by the database query process
	Using _metrics.Measure.Timer.Time(MetricsRegistry.DatabaseQueryTimer)
		' Code to execute a database query goes here
	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.AddMetrics(builder =>
    {
        builder.Report.ToInfluxDb(options =>
        {
            options.InfluxDb.BaseUri = new Uri("http://your-influxdb-server"); // Configure InfluxDB server URI
            options.InfluxDb.Database = "appmetricsdb"; // Specify the database name
            options.InfluxDb.UserName = "user"; // Set database username
            options.InfluxDb.Password = "password"; // Set database password
            options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30); // Set backoff period
            options.HttpPolicy.FailuresBeforeBackoff = 5; // Set failure count before backoff
            options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10); // Set HTTP timeout duration
            options.FlushInterval = TimeSpan.FromSeconds(5); // Set interval for reporting metrics
        });
    });
}

public void ConfigureServices(IServiceCollection services)
{
    services.AddMetricsReportingHostedService();
    services.AddMetrics(builder =>
    {
        builder.Report.ToInfluxDb(options =>
        {
            options.InfluxDb.BaseUri = new Uri("http://your-influxdb-server"); // Configure InfluxDB server URI
            options.InfluxDb.Database = "appmetricsdb"; // Specify the database name
            options.InfluxDb.UserName = "user"; // Set database username
            options.InfluxDb.Password = "password"; // Set database password
            options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30); // Set backoff period
            options.HttpPolicy.FailuresBeforeBackoff = 5; // Set failure count before backoff
            options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10); // Set HTTP timeout duration
            options.FlushInterval = TimeSpan.FromSeconds(5); // Set interval for reporting metrics
        });
    });
}

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetricsReportingHostedService()
	services.AddMetrics(Sub(builder)
		builder.Report.ToInfluxDb(Sub(options)
			options.InfluxDb.BaseUri = New Uri("http://your-influxdb-server") ' Configure InfluxDB server URI
			options.InfluxDb.Database = "appmetricsdb" ' Specify the database name
			options.InfluxDb.UserName = "user" ' Set database username
			options.InfluxDb.Password = "password" ' Set database password
			options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30) ' Set backoff period
			options.HttpPolicy.FailuresBeforeBackoff = 5 ' Set failure count before backoff
			options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10) ' Set HTTP timeout duration
			options.FlushInterval = TimeSpan.FromSeconds(5) ' Set interval for reporting metrics
		End Sub)
	End Sub)
End Sub

Public Sub ConfigureServices(ByVal services As IServiceCollection)
	services.AddMetricsReportingHostedService()
	services.AddMetrics(Sub(builder)
		builder.Report.ToInfluxDb(Sub(options)
			options.InfluxDb.BaseUri = New Uri("http://your-influxdb-server") ' Configure InfluxDB server URI
			options.InfluxDb.Database = "appmetricsdb" ' Specify the database name
			options.InfluxDb.UserName = "user" ' Set database username
			options.InfluxDb.Password = "password" ' Set database password
			options.HttpPolicy.BackoffPeriod = TimeSpan.FromSeconds(30) ' Set backoff period
			options.HttpPolicy.FailuresBeforeBackoff = 5 ' Set failure count before backoff
			options.HttpPolicy.Timeout = TimeSpan.FromSeconds(10) ' Set HTTP timeout duration
			options.FlushInterval = TimeSpan.FromSeconds(5) ' Set interval for reporting metrics
		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); // Get total free memory
    _metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory); // Set gauge to measure free memory
}

public void CheckSystemMemory()
{
    var freeMemory = GC.GetTotalMemory(false); // Get total free memory
    _metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory); // Set gauge to measure free memory
}

Public Sub CheckSystemMemory()
	Dim freeMemory = GC.GetTotalMemory(False) ' Get total free memory
	_metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory) ' Set gauge to measure free memory
End Sub

Public Sub CheckSystemMemory()
	Dim freeMemory = GC.GetTotalMemory(False) ' Get total free memory
	_metrics.Measure.Gauge.SetValue(MetricsRegistry.FreeMemory, freeMemory) ' Set gauge to measure free memory
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>(); // Retrieve the IMetricsRoot instance
    var scheduler = new AppMetricsTaskScheduler(
        TimeSpan.FromSeconds(60), // Set the interval for metrics collection
        async () =>
        {
            await Task.WhenAll(metrics.ReportRunner.RunAllAsync()); // Run all reports asynchronously
        });
    scheduler.Start(); // Start the scheduler
}

public void ConfigureScheduledReporting(IApplicationBuilder app)
{
    var metrics = app.ApplicationServices.GetService<IMetricsRoot>(); // Retrieve the IMetricsRoot instance
    var scheduler = new AppMetricsTaskScheduler(
        TimeSpan.FromSeconds(60), // Set the interval for metrics collection
        async () =>
        {
            await Task.WhenAll(metrics.ReportRunner.RunAllAsync()); // Run all reports asynchronously
        });
    scheduler.Start(); // Start the scheduler
}

Public Sub ConfigureScheduledReporting(ByVal app As IApplicationBuilder)
	Dim metrics = app.ApplicationServices.GetService(Of IMetricsRoot)() ' Retrieve the IMetricsRoot instance
	Dim scheduler = New AppMetricsTaskScheduler(TimeSpan.FromSeconds(60), Async Sub()
			Await Task.WhenAll(metrics.ReportRunner.RunAllAsync()) ' Run all reports asynchronously
	End Sub)
	scheduler.Start() ' Start the scheduler
End Sub

Public Sub ConfigureScheduledReporting(ByVal app As IApplicationBuilder)
	Dim metrics = app.ApplicationServices.GetService(Of IMetricsRoot)() ' Retrieve the IMetricsRoot instance
	Dim scheduler = New AppMetricsTaskScheduler(TimeSpan.FromSeconds(60), Async Sub()
			Await Task.WhenAll(metrics.ReportRunner.RunAllAsync()) ' Run all reports asynchronously
	End Sub)
	scheduler.Start() ' Start the scheduler
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 with IronPDF, 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")

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")

Appmetrics C# (How It Works For Developers): Figure 2 - PDF Report Output

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 of IronPDF to get you started, and licenses begin at $999, providing a cost-effective way to enhance your document handling capabilities.

Jacob Mellor

Chat with engineering team now

Chief Technology Officer

Jacob Mellor is Chief Technology Officer at Iron Software and a visionary engineer pioneering C# PDF technology. As the original developer behind Iron Software's core codebase, he has shaped the company's product architecture since its inception, transforming it alongside CEO Cameron Rimington into a 50+ person company serving NASA, Tesla, and global government agencies.

...