In 2019, the migration of workloads from on-premises to cloud environments was increasingly prevalent, with cloud vendors encouraging enterprises to adopt cloud services and build new cloud-native solutions. A common inquiry among businesses was the necessity of dedicated cloud monitoring solutions like Dynatrace, beyond what cloud vendors offer. The text highlights several reasons for using Dynatrace, including its ability to handle technology diversity in hybrid-cloud architectures, provide comprehensive full-stack metrics rather than isolated service metrics, and deliver detailed deployment context and topology data. Additionally, Dynatrace's AI-driven AIOps capabilities enable automated problem analysis and self-healing actions, thus enhancing operational efficiency. Real-world examples from Dynatrace customers illustrate how these features support effective cloud migration and ongoing operations, emphasizing the limitations of metrics-based monitoring alone in delivering the insights needed for scaling operations efficiently in a hybrid-cloud landscape.