Microsoft has begun working with the Docker team and community so Docker can be used for the following: If you would like to run an ASP.NET Core web app in a Docker container and learn how to create images, we will explain all the steps on how to do the following: A Docker container image is a standalone, lightweight package that can be executed and contains all the requirements you need to run an application, such as: code, runtime, libraries, and settings.

Developing a holistic enterprise architecture is the first step to acquiring a wholesome grip over the evolution and management of an organization. Enterprise architecture enhances Business Process Improvement and significantly optimizes costs by standardizing technology – two of the most crucial factors that influence the ROI of an organization. The enormous efficiency and cost-savings, that enterprise architecture brings about, have strengthened the belief in enterprise architecture today.

If you are a .NET developer, monitoring runtime metrics can help you troubleshoot bugs and detect resource inefficiencies in your applications. With Datadog, you can easily collect, visualize, and alert on key .NET runtime metrics, including exceptions, garbage collection statistics, thread count, and more. We have fully integrated .NET runtime metrics into Datadog APM so that you can easily view them alongside your distributed traces, logs, and other telemetry.

“Object Reference Not Set to an instance of an object.” Cast the first stone those who never struggled with this error message when they were a beginner C#/.NET programmer. This infamous and dreaded error message happens when you get a NullReferenceException. This exception is thrown when you try to access a member—for instance, a method or a property—on a variable that currently holds a null reference. But what is a null reference?

One of the best things about being a .NET developer is all the amazing ASP.NET performance tools that can make your life easier. This blog post is a list of the various types of ASP.NET performance tools at your disposal for finding and optimizing ASP.NET performance problems. Depending on the task, some of these tools will be much better than the others.

OpenTelemetry is a CNCF project that standardizes observability (logs, metrics, and traces) across many languages and tools. Today we will look at how we can use the OpenTelemetry .NET library to instrument a .NET 5.0 web API, to offload traces to Tempo and logs to Loki in Grafana Cloud. Grafana Cloud now has a free plan. Set up your account and follow along!

ASP.NET offers many benefits, such as improved security, easy updating, language independence and less overall code. With that said, .NET is not without errors and issues, even when working with a professional, such as this .NET development company. One common error is an Application_error in the Global.asax file. Let’s understand how to handle ASP.NET App’s Global.asax and other common errors in .NET.

Recently, the JetBrains .NET advocacy team published a deep-dive post powered by data we retrieved from the official NuGet APIs with the goal of better understanding our community's OSS past and trying to predict trends into the future. This resulted in a giant dataset. Given our experience with Elasticsearch, we knew that the best tool to process millions of records was what we're calling the NECK stack: .NET, Elasticsearch, CSV, and Kibana.

.NET monitoring is a critical aspect of .NET application development. It helps developers track the health and well-being of their applications to provide real-time performance reviews. Knowing the real status of your application ensures that users have round-the-clock access to your business site. .NET monitoring makes sure that your business is not impacted by application issues. For example, problems experienced during site navigation can discourage customers from making a purchase from your site.

Any application built today is expected to be highly responsive, highly available, and required to adapt to enormous changes in real-time at peak business hours, store ever-increasing volumes of data, and make that stored data available for users a fraction of seconds. To achieve such low latency and high availability, you need to deploy these applications’ Instances in data centers that are close to their users.