This stage in the CQRS series explores advanced extensions such as decorators over MediatR, event publishing, and audit logging. Discover how you can add logging, retry, validation, domain events, and action tracking in a clean and scalable architecture.
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In this stage of the CQRS series, we explore query optimization: using direct projections, avoiding unnecessary loading, using AsNoTracking() for reading, implementing paging, filtering, and sorting, as well as introducing caching for frequent or slow queries.
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In this article, we discuss designing a Repository for write operations as an alternative to working directly with DbContext. You will see how an IPostRepository with methods like AddAsync() and GetByIdAsync() can simplify the logic in Command Handlers and maintain a clear separation of responsibilities.
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In this article, we explore how to manage transactions in the Command handler of a CQRS and DDD-based application. We will examine the use of IDbContextTransaction from Entity Framework Core and the UnitOfWork alternative to ensure data consistency when business logic involves multiple operations.
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Separate the responsibility of data persistence in a clean way using EF Core and an abstracted context in the Infrastructure Layer.
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Find out why it is important to separate domain models from read models in a DDD + CQRS application and how this helps you keep the code clear and performant.
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Learn how to efficiently map between DTO and domain model using AutoMapper in ASP.NET, for clean API requests and responses.
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How to efficiently validate orders in .NET using FluentValidation: clear rules for writing only, without affecting reading.
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