Hybrid cloud infrastructures have become prevalent, with a significant portion of businesses adopting them for enhanced flexibility and cost optimization, despite the challenges they present. Monitoring these environments effectively is a major obstacle, as it requires consistent application of security and compliance processes across diverse systems, and the existing monitoring tools often lack the capability to provide comprehensive, real-time insights into both on-premises and cloud components. IT professionals report difficulties in achieving end-to-end visibility and managing the vast array of metrics generated. Best practices for overcoming these challenges include integrating monitoring requirements into the design phase, prioritizing critical metrics, maximizing integration across systems, and automating processes using AI and machine learning. Automation aids in faster anomaly detection and resolution, which is crucial for maintaining the performance and security of hybrid clouds. Organizations often need third-party solutions that offer strong integration, customization options, and automation capabilities to manage these complex environments effectively.