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Just-In-Time (JIT) compilation, in which Intermediate Language (IL) code is compiled into native machine code at runtime, has historically been the foundation of .NET programs. This method can result in startup delays and increased memory utilization, but it also enables flexibility and great runtime efficiencies. Ahead-of-Time (AOT) compilation, with Native AOT being its most sophisticated…

One of the most important features of contemporary applications is performance. Despite.NET Core’s speed and cross-platform compatibility, many apps still have performance problems—not because of the framework, but rather because of how it is used. In this post, we’ll examine potential causes of your.NET Core application’s slowness and offer solutions based on tried-and-true best practices….

It’s not necessary to memorize frameworks or follow every new release in order to become a successful.NET developer. It’s about developing solid foundations, picking the appropriate specialization, and progressively becoming someone who can create, construct, and manage systems that are ready for production. Whether you’re just getting started or are already employed in the.NET ecosystem,…

One of ASP.NET Core’s most potent speed enhancements is memory pooling, but improper use can outweigh its advantages and possibly make your program poorer than if you didn’t pool at all. These anti-patterns still result in runaway memory utilization, GC pressure, and false memory-leak notifications in real systems, despite.NET 10’s automated pool reduction. I’ve frequently…

A single application instance serves several clients (tenants), each of whom is logically isolated from the others, according to the potent multi-tenancy architectural pattern. SaaS (Software-as-a-Service) solutions frequently use this strategy for cost optimization, scalability, and efficiency. This article will discuss how to use Entity Framework Core (EF Core) to design and build multi-tenant architecture…