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Syncfusion
syncfusion.com › blogs › asp.net core › performance tuning in asp.net core: best practices for 2026
Performance Tuning in ASP.NET Core: Best Practices for 2026 | Syncfusion Blogs
2 weeks ago - Most techniques highlighted in this post, like MapStaticAssets, HybridCache, enhanced rate limiting, IL trimming after AOT, and new Identity metrics, are introduced or significantly improved in ASP.NET Core 10 (.NET 10).
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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in .net core 3.0
Performance Improvements in .NET Core 3.0 - .NET Blog
October 29, 2025 - As background, “vectorization” is an approach to parallelization that performs multiple operations as part of individual instructions on a single core. Some optimizing compilers can perform automatic vectorization, whereby the compiler analyzes loops to determine whether it can generate functionally equivalent code that would utilize such instructions to run faster. The .NET JIT compiler does not currently perform auto-vectorization, but it is possible to manually vectorize loops, and the options for doing so have significantly improved in .NET Core 3.0.
Discussions

Do you believe the performance difference between .NET version are noticeable?
Saw 10-15% reduction in CPU usage on a high volume web app going from .NET 5 to 6. We will be going to .NET 8 here soon. Who knows what that will bring but expect CPU & Memory usage to drop vs increase with all the work with strings and spans. Most of our apps are not that high volume so they spend more time idle so performance gains are harder to see. I can say I've never seen performance get worse. Pretty great to get a lower cloud bill by just upgrading the framework. More on reddit.com
🌐 r/dotnet
64
67
July 16, 2024
How To Increase EF Core Performance for Read Queries in .NET
Great incorrect advice that will mislead junior developers into making data-corrupting mistakes. Good job little AI blog spammer! For anyone else who doesn’t want machines subtly fucking up their data: you can’t paginate safely without a sort on a unique value such as a primary key. Book titles as shown in the sample may not be unique so you can end up with page #1 and page #2 sorted subtly differently and either skipping rows or duplicating rows. I guarantee you won’t enjoy the fallout when it’s a finance report. While I’m ranting about the blind leading the blind: pagination using a numerical offset is the slower approach! If you have any filters or other “work” in the query the database engine is required to repeat this for the prefix of every page… just to throw it away. You end up with quadratic scaling if you try to step through a large dataset like this in production — but it works great with tiny amounts of toy data in development! Oh and sample #2 after that loads the entire fucking database into memory — what could go wrong!? “Boss! We need to upgrade the web server sizes again!” More on reddit.com
🌐 r/dotnet
77
46
October 30, 2024
ASP.NET performance
In my experience (for development in general on WebApps for about 7 years), the biggest slowing factor happens between the server and the client. If you have to make frequent calls to databases for example. And if it takes your client a while to connect to a server and get a response because of saturation For databases, paging your requests (cutting it into chunks) and using stored procedures for repeated calls over large chunks of data helps a lot. You can use profilers to see which queries are taking up a lot and even which portions of them and see how to speed them up. For server connections, queues (as another mentioned) and load balancers will help tremendously with scaling so one single server instance doesn't get inundated. It adds a little bit of latency, but if you have a lot of connections it will go a long way. Its one of the investments that gets more worth it the more you scale In summary tho you want to be as efficient as you can with the calls you have to make to different layers, try to focus on making them less frequent by making it less necessary to repeatedly call. Caching is one such case where it helps you not need to fetch data More on reddit.com
🌐 r/dotnet
25
0
February 28, 2025
High performance .NET
Stephen Toub has been writing performance blogs for each release OF dotnet since 3 I think that are packed full how how the language has been optimized. Not necessarily instructive on how to write the code yourself, but knowing what's happening behind the scenes will definitely help. Here's .NET 8: https://devblogs.microsoft.com/dotnet/performance-improvements-in-net-8/ Also, there's no way those books are helpful anymore. Core was released in 2016, so safe to say those are for Framework and ancient. Time to retire them. Also also, agree with the previous post, you don't really need to microoptimize dotnet code. The optimizations are built into the libraries and lang and compiler and runtime. Just using the right data structures (like Span) is enough. Db calls and http connections are going to be the slowest part of your code, not the code itself. More on reddit.com
🌐 r/dotnet
53
139
February 11, 2024
People also ask

How to improve the performance of ASP.NET Core?

To improve the performance of ASP.Net core, invest in best development practices such as avoiding blocking calls, caching, minimizing large object allocations, optimizing I/O and data access, minimize exceptions, and compress responses, etc.

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biztechcs.com
biztechcs.com › home › blog › asp.net core performance best practices: speed up your apps
Best Practices to Improve ASP.Net Core Performance
Is ASP.NET Core faster than node JS?

The built-in IIS server kernel caching in ASP.Net core makes the process of CPU rendering much more simpler here. Thus, even if your application performs CPU-intensive tasks, ASP.Net core is capable of performing much faster compared to Node JS.

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biztechcs.com
biztechcs.com › home › blog › asp.net core performance best practices: speed up your apps
Best Practices to Improve ASP.Net Core Performance
Which is better ASP.NET or ASP.NET Core?

Both are based on MVC (Model, View, Controller) architecture and perform seamlessly. However, the support for modular architecture and robust cloud support makes ASP.Net core a preferable choice in many occasions.

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biztechcs.com
biztechcs.com › home › blog › asp.net core performance best practices: speed up your apps
Best Practices to Improve ASP.Net Core Performance
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Microsoft Learn
learn.microsoft.com › en-us › aspnet › core › fundamentals › best-practices
ASP.NET Core Best Practices | Microsoft Learn
Optimizations in .NET and ASP.NET Core mean that newer versions generally outperform older versions. For example, .NET Core 2.1 added support for compiled regular expressions and benefitted from Span<T>. ASP.NET Core 2.2 added support for HTTP/2.
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BiztechCS
biztechcs.com › home › blog › asp.net core performance best practices: speed up your apps
Best Practices to Improve ASP.Net Core Performance
February 9, 2026 - For example, .NET Core 2.1 added JIT compiler, support from compiled regular expressions, and benefitted Span tags, whereas 2.2 have support for HTTP/2. ASP.NET Core 3.0 offered fast memory reading and writing, assembly unloads ability, and more.
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Medium
medium.com › syncfusion › performance-tuning-in-asp-net-core-best-practices-for-2025-3ce6ddd8b562
Performance Tuning in ASP.NET Core: Best Practices for 2025 | by Rajeshwari Pandinagarajan | Syncfusion | Medium
November 28, 2025 - HybridCache is most effective when used for frequently accessed data such as API responses, computed results, or expensive queries. This minimizes backend strain and improves overall responsiveness. The ASP.NET Core 9 and later releases include features such as monitoring cache hit rates with metrics, static asset optimization, and Blazor enhancements that complement HybridCache.
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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in .net core 2.1
Performance Improvements in .NET Core 2.1 - .NET Blog
October 29, 2025 - In .NET Core 2.1 Enum.HasFlag is now a JIT intrinsic, such that the JIT generates the same quality code you would write by hand if you were doing manual bit flag testing. The evidence of this is in a simple benchmark: On this test, I get results like the following, showing a 100% reduction in allocation (from 48 bytes per call to 0 bytes per call) and an ~50x improvement in throughput: This is an example where developers that cared about performance had to avoid writing code a certain way and can now write code that’s both maintainable and efficient, and also helps unaware developers fall into a “pit of success”. (Incidentally, this is also a case where Mono already had this optimization.)
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C# Corner
c-sharpcorner.com › article › 10-tips-to-improve-performance-of-asp-net-core-application
10 Tips To Improve Performance Of ASP.NET Core Application
March 10, 2019 - We have different kinds of caching ... ... We can also improve the performance of an application by optimizing data access logic and database tables, and queries....
Find elsewhere
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Microsoft Learn
learn.microsoft.com › en-us › aspnet › core › performance › overview
ASP.NET Core performance | Microsoft Learn
September 18, 2024 - The following articles provide information about how to optimize the performance of ASP.NET Core apps:
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Syncfusion
syncfusion.com › blogs › asp.net core › 10 tips for asp.net core 3.0 performance optimization
10 Tips for ASP.NET Core 3.0 Performance Optimization | Syncfusion Blogs
January 14, 2026 - Making client-side improvements. Try to avoid synchronous calling when developing ASP.NET Core 3.0 applications. Synchronous calling blocks the next execution until the current execution is completed. While fetching data from an API or performing operations like I/O operations or independent ...
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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in .net 5
Performance Improvements in .NET 5 - .NET Blog
October 29, 2025 - These are just some of the myriad of improvements that have gone into the JIT in .NET 5. There are many more. dotnet/runtime#32368 causes the JIT to see an array’s length as unsigned, which results in it being able to use better instructions for some mathematical operations (e.g. division) performed on the length. dotnet/coreclr#25458 enables the JIT to use faster 0-based comparisons for some unsigned integer operations, e.g.
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NeoSOFT
neosofttech.com › .net core performance optimization techniques
Top .NET Core Performance Optimization Techniques
August 2, 2024 - Pooling: Implementing object pooling to reuse objects instead of creating new ones reduces memory allocation overhead in Dot Net Core applications. This technique is particularly beneficial for managing database management and optimizing performance by minimizing the resource usage associated with object creation and destruction. Object pooling supports fine-tuning of critical processes and enhances system efficiency by facilitating sloppy start up and lazy loading of objects. By optimizing code of application through object reuse, developers can achieve improved performance and ensure efficient use of available resources, thereby enhancing the scalability and stability of their applications.
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Reddit
reddit.com › r/dotnet › do you believe the performance difference between .net version are noticeable?
r/dotnet on Reddit: Do you believe the performance difference between .NET version are noticeable?
July 16, 2024 -

May sound stupid, but after my 3rd major .NET version update (.NET 5 > .NET 6 > .NET 8), do you observe a performance difference - i.e less CPU usage overall, faster response times in average - between the version for web applications with under 1000 concurrent users doing CRUD operations and in the evenings - no user load - performs calculations against a SQL DB using LINQ.

I love reading the blog posts and running some local benchmarks myself, but so far I have not noticed a performance difference in my deployed applications.

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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in asp.net core 6
Performance improvements in ASP.NET Core 6 - .NET Blog
January 27, 2022 - See the Announcing Entity Framework Core 6.0 Preview 4: Performance Edition blog post which highlights many of the improvements in detail. Blazor now has efficient support for byte arrays when performing JavaScript interop. Previously, byte arrays sent to and from JavaScript were Base64 encoded so they could be serialized as JSON, which increased the transfer size and the CPU load. The Base64 encoding has now been optimized away in .NET 6 allowing users to transparently work with byte[] in .NET and Uint8Array in JavaScript.
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Synergy-IT
synergy-it.com › blog › comprehensive-guide-to-net-core-performance-optimization
Ultimate guide to .NET Core performance optimization - Synergy-IT
Optimizing EF Core queries reduces database load, improves execution speed and helps optimize NET application performance overall.
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WireFuture
wirefuture.com › post › how-to-improve-performance-of-asp-net-core-web-applications
How to Improve Performance of ASP.NET Core Web Applications
January 7, 2025 - Discover key strategies to improve performance of ASP.NET Core web applications for better performance including CDN, Caching, async / await.
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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in .net 10
Performance Improvements in .NET 10 - .NET Blog
November 10, 2025 - In the rest of this post, just as we did in Performance Improvements in .NET 9, .NET 8, .NET 7, .NET 6, .NET 5, .NET Core 3.0, .NET Core 2.1, and .NET Core 2.0, we’ll dig into hundreds of the small but meaningful and compounding performance improvements since .NET 9 that make up .NET 10’s ...
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Microsoft
devblogs.microsoft.com › dev blogs › .net blog › performance improvements in .net 6
Performance Improvements in .NET 6 - .NET Blog
October 29, 2025 - But devirtualization improvements have gone well beyond such known intrinsic methods. Consider this microbenchmark: [Benchmark] public int GetLength() => ((ITuple)(5, 6, 7)).Length; The fact that I’m using a ValueTuple'3 and the ITuple interface here doesn’t matter: I just selected an arbitrary value type that implements an interface. A previous release of .NET Core enabled the JIT to avoid the boxing operation here (from casting a value type to an interface it implements) and emit this purely as a constrained method call, and then a subsequent release enabled it to be devirtualized and inlined:
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CISIN
cisin.com › software company › coffee break › .net core vs .net framework: why core is faster & more efficient
.NET Core vs .NET Framework: Why Core is Faster & More Efficient
Improved Register Allocation: More intelligently utilizing CPU registers to minimize memory access, which is a major bottleneck in high-performance computing. Tiered Compilation, introduced in later versions of .NET Core, is a game-changer.
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InnovationM
innovationm.com › home › optimizing performance in asp.net core apis: from caching to async db queries
Top 5 Ways to Optimize Performance in ASP.NET Core APIs
January 15, 2026 - Caching is one of the most effective performance improvement methods in ASP.NET Core APIs. By storing frequently accessed data in memory or distributed storage, caching reduces repeated calls to expensive resources like databases or external APIs.
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Medium
medium.com › agoda-engineering › happy-asp-net-core-performance-optimization-4e21a383d299
ASP.NET Core Performance Optimization | by Ilya Nemtsev | Agoda Engineering & Design | Oct, 2020 | Medium | Agoda Engineering & Design
November 12, 2020 - This can improve performance because Clear() does not shrink the underlying array, but de-references the contained items allowing us to reuse the underlying array for our further needs. These are some of the more successful techniques I have used in my experience, most of which were implemented during Agoda’s migration effort to ASP.NET core.