If you have a surface-level understanding of .NET applications and project development, you may struggle to understand certain glitches and execution speed issues.

As you work toward gaining as strong a foothold on the software as Sai Nitisha Tadiboina, apply the following Microsoft-approved strategies in your day-to-day attempts to improve your .NET application’s performance.

Highlight Slow Queries with Prefix

Prefix is a rather handy tool for identifying queries and other aspects involved that might be slowing down your .NET application. When you make a change to optimize your app, measure the results before putting the updated version out there.

You can do this with Prefix, a tool that measures the following:

• JavaScript performance
• Loading time
• Server

The tool will highlight larger JavaScript files and other optimization aspects that you can rank from least important to most important and implement them in your application workflow.

Remove Modules

The workflow of a request goes like this. The user makes the request; it goes through several HTTP modules throughout the .NET application. The request is served once it arrives at the handler.

The modules are the key here. You must analyze which of them are active and which remain unused. The latter could affect your execution speed, so you must remove them by updating the web.config file.

Land on the Right Pipeline Mode

There are two pipeline modes on the .NET application level.

· Classic Mode

In classic mode, every request interacts with the IIS (Internet Information Services) pipeline before interacting with the ASP.NET pipeline. The added event makes the process rather cumbersome and redundant.

· Integrated Mode

The integrated mode merges the IIS and ASP.NET pipelines to serve the request as one blended event. Needless to say, it’s the faster of the two modes and, thus, the one you should select to optimize performance.

Solve .NET Problems Like Sai Nitisha Tadiboina

See your .NET application from a user’s perspective. They don’t want a delay between one bit of information and the next. Learn how a software engineer representing artificial intelligence and machine learning in the insurance industry would approach simple-to-complex problems with their application by following Sai Nitisha Tadiboina, a master software engineer at GEICO.

Have her as a mentor by booking a session at Criya (YC W22), where she is an expert.