This tutorial demonstrates how to use Redis as a cache layer with Microsoft SQL Server, improving performance and reducing database load by storing frequently accessed data in Redis. The application is built using .NET 7 Web API and uses the StackExchangeRedisCache package for caching and Microsoft.EntityFrameworkCore.SqlServer package for interacting with the database. The tutorial guides users through creating a new project, setting up the cache and database connections, seeding the database with dummy data, and implementing an endpoint to retrieve values from Redis or SQL Server based on key availability. To run the application, Docker containers are used, including Redis and SQL Server, which can be started using a docker-compose.yml file. The tutorial concludes by showcasing how this approach can improve response times and reduce database load for complex queries with large datasets.