xUnit VS Redis

Several well-known NuGet packages such as xUnit.net, FluentAssertions, StyleCop, Entity Framework Core, and others include by default a significant number of Roslyn analyzers. They help you adhere to the conventions and best practices of these libraries.

Most of my rules apply to document types, so let's build some tests for document types. We start by creating a new test class and a new test function and getting a list of all document types. This test is created using xUnit and FluentAssertions:

xUnit -> https://xunit.net/

.NET / xUnit / NUnit / MSTest

This library extends the traditional assertions provided by frameworks like MSTest, NUnit, or XUnit by offering a more extensive set of extension methods. Fluent Assertions supports a wide range of types like collections, strings, and objects and even allows for more advanced assertions like throwing exceptions.

You can verify the functionality of this validator by writing the following tests (using xUnit):

The git repo has other runners. AssemblyRunner appears to be the best fit for an already compiled tests project, but there is a runner that can be wrapped into an MSBuild task for example.

At this point you're going to see a familiar screen asking you to select a project. Here we're looking for a test project. By default, Visual Studio gives you access to 3 different testing frameworks based on your choice of project. These are MSTest, XUnit and NUnit. Ultimately, all 3 of these testing accomplish the same thing, and I've worked with all of them at various points in my career. The difference is mainly in exact syntax and documentation. Although, it's generally considered that MSTest is a little "older" than NUnit or XUnit, so I tend to see it less now. For the purposes of this demo, I'm going to go with NUnit:

xUnit unit tests tool

Use a testing framework: Utilize a testing framework like NUnit, xUnit, or MSTest to create, organize, and run your tests. These frameworks provide a consistent way to write tests, generate test reports, and integrate with continuous integration tools.

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

One of the challenges Redis labs here have is that there's very little reason for their userbase to stay loyal to them.

antirez retired from Redis development a few years ago.

From https://github.com/redis/redis/graphs/contributors it looks like activity since he left has been mostly from people who didn't overlap with him much.

Redis Labs have not shown themselves to be outstanding stewards of the project as far as I can tell. Why shouldn't people support the fork?

Redis

Redis - real time data storage with different data structures in a cache

[0] https://github.com/redis/redis/blob/unstable/CONTRIBUTING.md

Cache: a Redis cache