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Tracking vs No-Tracking Queries Explained

When working with Entity Framework, one of the most overlooked performance considerations is whether queries should be tracked or not. By default, Entity Framework tracks entities returned from queries, allowing changes to be detected and saved automatically. However, tracking comes with overhead and is not always necessary. Understanding when to use tracking and no-tracking queries can improve application performance and reduce memory usage.

Admin in C#
02-Jun-2026
Tracking vs No-Tracking Queries Explained

Writing Raw SQL When Entity Framework Isn’t Enough

Entity Framework makes database access straightforward, handling most queries with minimal code. However, there are situations where LINQ queries become difficult to optimise, database-specific features are required, or performance is critical. In these cases, writing raw SQL can provide greater control, improved efficiency, and access to capabilities that Entity Framework does not directly support.

Admin in SQL
31-May-2026
Writing Raw SQL When Entity Framework Isn’t Enough

Migrations in EF Core Without Breaking Production

Entity Framework Core migrations make database changes manageable, but applying them incorrectly can cause downtime, failed deployments, or data loss in production. This article explores practical strategies for safely managing EF Core migrations, including deployment planning, testing, rollback preparation, and handling schema changes in live environments without disrupting users.

Admin in C#
27-May-2026
Migrations in EF Core Without Breaking Production

SQL Queries Every Developer Should Know

Whether you are building web applications, desktop software, or APIs, a solid understanding of SQL is essential. While ORMs can simplify database access, every developer benefits from knowing how to write efficient SQL queries. This article explores some of the most useful SQL queries and techniques that can help you retrieve, analyse, and manage data more effectively.

Admin in SQL
22-May-2026
SQL Queries Every Developer Should Know

Indexes Explained Like It’s 1988

Back in 1988, computers were slower, hard drives were noisy, and every second counted. Database indexes were the secret weapon that helped systems find information quickly without searching every single record one by one. Even though technology has changed dramatically since then, indexes still work on the same core idea today. This article explains database indexes using retro computing comparisons anyone can understand.

Admin in SQL
19-May-2026
Indexes Explained Like It’s 1988

Entity Framework Core Performance Tips

Entity Framework Core is a powerful ORM for .NET developers, but poor query design and inefficient data access can quickly create performance bottlenecks. This article explores practical techniques for improving application speed, reducing database load, and making EF Core applications more scalable and responsive in production environments.

Admin in C#
16-May-2026
Entity Framework Core Performance Tips

Rendering Performance Tips for Large Blazor Apps

As Blazor applications grow, rendering performance can quickly become a challenge. Large component trees, excessive re-rendering and inefficient state handling can lead to sluggish interfaces and poor user experience. This article explores practical techniques for improving rendering performance in large Blazor applications while keeping code maintainable and scalable.

Admin in Blazor
13-May-2026
Rendering Performance Tips for Large Blazor Apps

JavaScript Interop in Blazor Explained

Blazor allows developers to build interactive web applications using C# instead of JavaScript, but there are still situations where browser APIs or JavaScript libraries are required. JavaScript Interop provides the bridge between Blazor and JavaScript, enabling developers to call JavaScript functions from C# and vice versa while keeping applications modern, flexible, and efficient.

Admin in Blazor
11-May-2026
JavaScript Interop in Blazor Explained

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