Modern applications increasingly rely on third-party services to provide seamless user experiences, making API monitoring vital for DevOps teams to ensure these services function correctly. An API, or application programming interface, facilitates communication between different software components, and API monitoring involves collecting data on API performance to identify issues affecting users. This practice is essential in multicloud environments where numerous microservices can impact an application's overall performance. Monitoring APIs enables early detection of problems, performance optimization, security compliance, and effective dependency management, while providing business insights and ensuring adherence to service-level agreements (SLAs). There are two main API monitoring methods: synthetic monitoring, which simulates user behavior to assess performance, and real user monitoring (RUM), which evaluates actual user experiences. Both methods provide comprehensive insights into API performance, allowing developers to prevent and address issues efficiently. Selecting an API monitoring tool requires considering its ability to analyze data comprehensively, support different monitoring methods, and identify third-party API impacts. Effective API monitoring, complemented by testing, ensures the development of robust applications that meet business objectives and key performance indicators (KPIs).