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This research paper focuses on developing a complete system for daily automation testing of comprehensive web applications implemented on cloud environments, encompassing the execution of automated API tests, real-time monitoring and results visualization of the testing environments. Despite the tools for developing automated API tests, the study uses containerization tools as Docker and Kubernetes, showcasing their integration into a cohesive testing framework. Furthermore, the implementation leverages the potential of the Google Cloud Platform (GCP) to demonstrate the usage of cloud computing services, emphasizing scalability and efficiency. Additionally, the paper details the integration of monitoring tools, specifically Elasticsearch, to assess and visualize the health and performance of the underlying Kubernetes cluster. Through a comprehensive approach, encompassing a wide variety of tools, the research establishes a continuous and automated testing environment essential for cutting-edge software applications. Results showcase the successful orchestration of all the technologies, highlighting their collective impact on achieving a robust and efficient system for continuous automation testing and monitoring. |
