.NET Core Applications

With booming software development to reach 507.23 BN USD in 2025, performance plays an important role in maximizing user engagement by increasing the system’s overall efficiency. 

So.NET core is an open-source platform developed by Microsoft that provides robust solutions for software performance enhancement.

To boost the development process and expand the life span of software applications the  .NET core development services play a pivotal role in optimizing the software performance features and avoiding the performance issues which is an important aspect of software development.

Understanding Performance Bottlenecks:

Let’s understand the common performance bottlenecks of .NET core applications that may affect software performance optimization and how to tackle them with different tools and technologies.

Some common performance bottlenecks are code dependency, pre-existing database issues, common software infrastructure problems, and unnecessary logging and locking.

To avoid the above-mentioned issues, some common tools are used, such as:

  • Visual Studio Profiler- The profiler solves the performance bottlenecks by collecting data usage in the CPU and memory or time of execution and showing them in the display.
  • Dot Trace– This tool supports different variants of .NET applications and finds the performance bottlenecks in unity or mono applications.
  • Preview- It is a Windows-based free performance issues tracker that finds issues by isolating the CPU from memory-related issues in the software application.

Code Optimization Technique:

In order to avoid performance issues, one should learn about code optimization techniques through best practices such as 

  • Efficient Coding Practices-

For efficient coding optimization, you have to use asynchronous programming to boost responsiveness by blocking tasks from separate threads and increasing scalability.

You can also minimize the allocations by using data compression methods of batching tricks to optimize codes.

  • Optimal use of collections-

In order to choose the right collection type, you should monitor the .NET behavior for garbage collection and application performance impacts.

Another thing you should follow is to avoid large object heap collections as they occupy more memory that put more pressure on the Garbage collector.

  • String Handling-

For string handling, you should know the difference between String builder and String concatenation. Both are used to build strings. However, they differ from each other in terms of memory usage and storage capacity.

For the perfect use of string interpolation.net applications, you may know different programming languages and may take the help of any ASP net core development company for effective interpolation of strings.

Performance Optimization In Database Access:

To increase the performance in database access, one should follow the below best practices, such as 

  • Query Optimization-

For effective query optimization, some best practices for SQL queries involve limiting the number of results, avoiding subqueries, using unique keywords, and using accurate data types.

Another thing is to avoid n+1 queries as it slows down the data request and a large number of will be held in the network in data latency.

  • Using Entity Framework Core-

For using an entity framework, you should follow the tracking vs. non-tracking queries based on your specific needs, like quick updating, taking advantage of EF’s features, and when you have small memory usage.

Another thing you should know is when to apply eager loading and when to apply lazy loading. The major difference is that lazy loading is already present during loading, whereas eager loading is forced loading, which you should apply based on memory usage.

Concurrency And Parallelism:

For concurrency and parallelism, you should consider the following practices such as:

  • Task Parallel Library-

Task Parallel Library or TPL is an integral part of.net application development used by the net core development company for easy multithreading .net core applications.

Best practices for TPL applications are executing multiple tasks by leveraging several CPU cores for faster programming, fine-tuning the task granularity, minimizing synchronization, and balancing the software load situations.

  • Asynchronous Programming-

For asynchronous programming, you should know the Async and await patterns. The former defines a function, whereas the latter is helpful to stop the function procedure. You can use both keywords to write asynchronous codes that may appear synchronous without affecting the benefits.

While performing asynchronous programming, you should avoid common pitfalls like call blocking, mixing asynchronous and synchronous codes, cancellation tokens, exception handling, etc.

Caching Strategies:

For best practices of Caching strategies, you should consider some factors like

  • In-Memory Caching-

To implement the in-memory caching, you should first add the Microsoft extensions caching memory to the program, then add it to your service, and afterward, use get, set, and remove methods to register in the in-memory caching.

However, there are some pros and cons to implementing in-memory caching.


  1. It helps in swift data retrieval.
  2. Ideal for low-latency applications.
  3. Provides controls over complete cache management.


  1. Not having enough memory capacity affects the overall efficiency.
  2. Requires manual management.
  3. It does not provide cost-effective methods for large data sets. 

Distributed Caching

Distributed caching can be beneficial in many ways while developing .net applications. You have to follow the below steps to avail of the benefits.

  • You can use Redis or a Remote dictionary server which is an open-source in-memory cache data structure platform and can also be used as a database or message broker for any kind of strings, hashtags, sets, bitmaps, queries, etc.
  • By implementing a distributed cache in the .net core you can access multiple coherent requests simultaneously. Ultimately, it helps in application deployment as it does not use any local memory.

Application Configuration And Optimization

Let’s find out the configuration setting and application optimization by applying the below steps.

Configuration Settings

You can easily optimize the configuration settings in .net core application development in JSON files. You can organize different sections by different option patterns available. You can design them according to user secrets, environment variables, etc.

Next, you can use different configuration providers such as environment variables, files, command line, key-per-file, and other memory providers for configuration settings.

Compression And Minification

There are several benefits of compression in .net core application development such as minimizing the amount of data used for transferring, decreasing load situations on the network, improving data transmission speed, etc.

Next, you can use response compression during the client and server intervention. Where the client will send the accept-encoding header to the server network for faster data transmission, and minimum load situations.

Logging And Monitoring:

Let’s find out two of the major practices of .net core applications such as Logging and Monitoring.

Importance Of Logging

The importance of logging can be optimized in two types as Structured logging and Serilog logging.

Structured logging records the messages and different events in a software system. However, this can also be used for debugging, auditing, and performance monitoring.

While Serilog is a kind of logging library that supports structured logging. To implement Serilog in the .net core application you must sink a log file, then, use the console to track the post. Then, follow the command line till the file integration role code changes.

Application Monitoring

To monitor your application insights you can take the help of an ASP Net core development company. The company will help you open a new ASP.net core project, and then download the Microsoft. application insights.

Then, integrate the log file to find any errors or traces in the application code, and finally deploy your application insights in your preferred .net core servers or tools.

In the next step of application monitoring, you can set up performance alerts by monitoring critical metrics, then centralize all of your data, then align your alerts as per your business needs. Finally, you must continue reviewing for alert changes.

Benchmarking And Testing

Performance Testing-

The performance test is important which can be performed in the last stage of application deployment to the end users to check the developed application is running properly without showing any error.

You can use many tools available such as Visual Studio, Perfview, and other third-party diagnostic tools like Github.

Continuous monitoring-

After the deployment of the application, continuous monitoring of the application performance guides you to find the errors and any functional demerits. Or system failure, and customer feedback integrations.

Also, continuous monitoring helps you get adjusted with the feedback shared by the customers, and implement the changes as per the customer’s needs.

Start Optimizing Your .net Core Applications Today!

With the rapid software development, the .NET core applications are paving the way for innovative software allocations. So, for a successful, .net application development, as a developer you must follow the best practices from code optimization techniques to implementing logging and in-cache memory during deployment. Hence, optimize the above-mentioned methods to produce the advanced .NET application today!

By Anurag Rathod

Anurag Rathod is an Editor of Appclonescript.com, who is passionate for app-based startup solutions and on-demand business ideas. He believes in spreading tech trends. He is an avid reader and loves thinking out of the box to promote new technologies.