Cloud computing's shift from on-premise to cloud-based infrastructure has necessitated a new approach to security, leading to the adoption of the Zero Trust Security Model. This model, introduced by Forrester Research in 2010, emphasizes a data-centric approach where all users and devices must be verified regardless of their location, even within a network perimeter. Unlike traditional perimeter-based security, Zero Trust requires micro-segmentation, continuous user identification, and strict access control using the principle of least privilege. Observability plays a crucial role in this model by providing a holistic view of systems through logging, monitoring, and analytics, which can identify threats and anomalies. Despite the technological advancements making Zero Trust more feasible, challenges remain, particularly with legacy systems that lack centralized logging capabilities. Integrating log analytics is essential for building and maintaining a robust Zero Trust architecture, ensuring that security measures are not just superficial but actively monitored and managed.