Traditional monitoring tools focus mainly on infrastructure metrics, such as CPU usage, network latency, or server health, but fail to provide insight into the end-user experience or application performance from the user's point of view. This limitation can lead to issues being missed that have an immediate impact on users, like sluggish webpage loads, errors during specific user interactions, or challenges navigating the application. In contrast, synthetic monitoring actively models user interactions and workflows, simulating actual user behavior and offering insights into the genuine user experience. By testing applications and identifying problems before they affect real users, synthetic monitoring enhances the overall quality and reliability of digital services in the cloud. It provides a more comprehensive perspective that is aligned with the user's experience, helping to detect and resolve issues proactively, improving the application's adaptability and scalability, and enabling businesses to adopt a proactive approach to issue detection and prevention.