King Abdullah University of Science and Technology, a graduate research institution in Saudi Arabia, has significantly enhanced its infrastructure monitoring by adopting the Elastic Stack, a decision influenced by its licensing model and community spirit. Previously, the university faced challenges with disparate and inflexible monitoring tools, which hindered efficient data visualization and alerting. With the Elastic Stack, managed by Stanislav Flachs and Gianluca Castellani, the university has achieved improved system visibility and operational efficiency, storing heterogeneous data, integrating with communication tools, and providing key performance indicators to management. The scalable and intuitive platform supports multiple use cases, including capacity planning and resource management. Future plans involve implementing security features, employing machine learning for anomaly detection, and further exploring the platform's functionalities to enhance intrusion detection and system resilience.