In traditional memory function test, failure data generated during pattern execution is stored in a specific space for failure analysis, and after the pattern is finished, it is analyzed through scanning processing. And to store the faildata generated during pattern execution, a physical space with a logical address proportional to the storage space of the device being tested is required. So, pattern execution time and faildata analysis time are required as time elements of the general test process, and a large amount of faildata storage space is required as space element. If the faildata can be checked and analyzed immediately while the pattern is running, we can finish analyzing the faildata of the pattern as soon as the pattern is finished. And real-time faildata can be checked and analyzed during pattern execution, so there is no need for a specific space with a logical address space. This paper explains FLS (Fail List Streaming) a new feature of the MAGNUM platform that can check and analyze fail data generated during pattern execution. Also, explanations of components used in FLS, FLS configuration, benefits, and how to use them will be covered.