The Developer’s Guide to Effective Error Handling in .NET Web APIs
Background There was a time when my wife and I were both working for a U.S.-based company from Nepal. Since the platform we worked on was an e-commerce system for
Background There was a time when my wife and I were both working for a U.S.-based company from Nepal. Since the platform we worked on was an e-commerce system for
As .NET developers, we’re often racing against deadlines, juggling multiple repositories, debugging elusive bugs, and constantly striving to write clean, efficient, and maintainable code. The good news? There are tons
What is Azure Key Vault? Azure Key Vault is a cloud-based service that securely stores and manages secrets, such as API keys, passwords, certificates, and cryptographic keys. It enhances security
Flexibility in database selection is critical in modern application development. A Web API should support multiple database options such as SQL Server, PostgreSQL, MySQL, and SQLite without major code changes.…
.NET 9 has some great new features, like better performance, better support for cloud-native apps, and a refined ecosystem that works really well with AI workloads. It's got APIs that…
ML.NET is a tool for machine learning that was created by Microsoft. It's designed for developers who are familiar with the .NET framework. With ML.NET, you can build, train, and…
Introduction Quartz.NET is an open-source job scheduling library for .NET applications, enabling developers to execute background tasks at specified times or intervals. This article explains what is quartz, it’s applications
Middleware is an essential component of the ASP.NET request pipeline. It allows developers to run code during both the request and response lifecycle. In this article, we will explore what…
Entity Framework (EF) is the most popular object-relational mapper (ORM) for .NET developers. It provides an abstraction over database access and improves developer productivity. With the release of .NET 9,…
From classification to time-series analysis, ML.NET equips developers to tackle diverse machine learning challenges. This example demonstrates how to detect error spikes, but the framework’s flexibility allows for real-time monitoring,…