Learn how to build a multi-cloud strategy for .NET apps across AWS, Azure & GCP with C# code examples, best practices, and pitfalls. Start today! A multi-cloud strategy means running your application across two or more public clouds — AWS, Azure, and GCP — instead of betting everything on a single provider. For .NET teams, this used to sound like a luxury reserved for Fortune 500 architecture boards. In 2026, it's increasingly a baseline requirement: enterprise customers demand deployment flexibility, regulators in finance and healthcare ask about vendor concentration risk, and one region-wide outage can cost more than a year of engineering effort. The good news is that modern .NET (now .NET 8/9/10 era) is genuinely cross-platform and container-first, which makes it one of the best ecosystems for going multi-cloud without rewriting your app three times. In this guide, you'll learn how to design a cloud agnostic architecture for .NET applications, see runnable C# code...
Learn ASP.NET Core output caching with real C# examples. Speed up API responses dramatically with policies, cache invalidation & Redis. Start caching today! If your API is hitting the database on every single request for data that barely changes, you are burning CPU, database connections, and money for nothing. ASP.NET Core output caching is one of the highest-impact, lowest-effort performance wins available in modern .NET: with a few lines of code, you can serve repeat requests in microseconds instead of milliseconds — often cutting response times by 90% or more and slashing database load dramatically. Output caching was introduced in .NET 7 as a first-class middleware and has matured significantly through .NET 8 and .NET 9, gaining built-in Redis support, tag-based invalidation, and clean integration with Minimal APIs and MVC controllers. In this tutorial, you will learn how output caching works, how it differs from response caching (a distinction that confuses even senior d...