Cashing ASP.NET Core App to Boost Performance
Shehryar Khan
Shehryar Khan
July 18, 2022
2 min

Table Of Contents

Installing LazyCache
Creating Table with Testing Data
Writing API Code
Testing API using Threads
Comparing Results


.Net Core is always considered a perfect choice whenever a high-performance application is required. Caching boosts the performance of the application which is needed where the web servers are not so powerful.

There are many ways used by performance conscious developers to Cache an Asp.Net Core Application & APIs.

  • Some developers use a CDN provider like Cloudflare for Cache the static resources for an entire web application.
  • Asp.net also offers output caching for page or controller generated text.
  • Cache headers can be set for allowing Browsers to Cache files.
  • Sometimes developers save Database query result in a static property for later use.

I tried LazyCache with one of my ASP.NET Core Application & found a significant performance boost in my Application & APIs as well.

cashing boost

So In this Article, I’m going to Create an Application & use LazyCache to Cache a result of 3000 records Database Table using Entity Framework Core & then I’ll Compare the results with the same query without using LazyCache.

Installing LazyCache

Let’s start by installing LazyCache NuGet Package in our .Net Core project.

Using Package Manager

Install-Package LazyCache

or Using .Net CLI

dotnet add package LazyCache

Creating Table with Testing Data

I have also Created a dummy Database & Added 3000 records using Loop in a Table named as Doctors.

cashing testing data

Writing API Code

First of all, I’m also going to run a Query for Getting all records from the Doctors Table using EF Core without Caching the Result. Here’s the Code:

public ActionResult GetDoctors()
    return Ok(db.Doctors.OrderByDescending(s => s.Id).ToList());

For Comparing my Results, I’m Getting the results from Doctors Table with GetOrAdd Method of the LazyCache Library. Here’s my Code fot that:

public ActionResult GetDoctors()
    return Ok(cache.GetOrAdd("all-doctors", () => db.Doctors.OrderByDescending(s => s.Id).ToList()));

Testing API using Threads

I’m going to use my favorite API Load Testing Tool Apache JMeter, for testing my API with 10 Threads.

cashing testing jmeter

So after Testing both, with & without Caching, I’m going to compare my results.

Comparing Results

Here’s the Result without Caching the Query result.

cashing result compare

& here’s the result using LazyCache method GetOrAdd

cashing result

You can see a significant performance boost in the time taken by the API to get the results of 3000 records from Database with Caching.

Now Let’s compare the Results using Chart.

Here’s the Chart for Query without Caching:

cashing result without cashe

In the above result, you can see that the average time taken by the API with 10 Threads is 289ms.

Now, Let’s see the results using Cache.

cashing cashe result

The Average Time using LazyCache is 94ms. Which is about 266% less then the Time Taken without Caching.


We have seen a huge difference in the Time taken by the same Query with or without Caching the Result using LazyCache. Without Caching, the average time was about 289ms & running the same query when Cache result it only took 94ms. So, it was a boost of about 266% according to a rough calculation. Using the same way you can Cache your Controller results in your Asp.Net Core Web Application & APIs. Keep in mind, you can not keep your Cache forever. You can also delete your cache manually & Time can also be set for your cache.

Thank you for reading this Article, I hope It will be helpful for you for improving the performance of your .Net Core App.

Related Articles:

What is the Future of .NET?

Best Windows Hosting to Host an ASP.NET Application


Shehryar Khan

Shehryar Khan

Full-Stack .NET Developer

I'm passionate about learning new technologies as well as mentoring and helping others get started with their programming career. This blog is my way of giving back to the Community.



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