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To rapidly improve the quality of web applications, it is necessary to implement automated testing strategies that allow you to comprehensively evaluate functionality and performance attributes, which are directly affected by the behavior of the hardware of the servers where they are hosted. Just as IT teams monitor the infrastructure that supports the applications, automations should be supported by monitoring platforms with specialized software testing analytics. This article presents the evaluation of four technology stacks, which will make it possible to select the most appropriate one to be included in the development of a platform specialized in software quality analytics. The four stacks in this study are: PALG, TICK, ELK, AM. This article will explain the characteristics and differences of stacks compared to various components such as: database, information filtering, collection of operating system metrics, alert system, data ingestion and visualization. Then simulations and tests carried out on each of them are described to evaluate their capabilities. Finally, conclusions are issued that will allow to select the technology stack that will be used in the development of the system specialized analytics for software testing. [ABSTRACT FROM AUTHOR]