Software development teams face challenges in observing, monitoring, and securing AI workloads, particularly with Generative AI and LLM-based applications, due to the limitations of traditional debugging methods. Dynatrace, in combination with Amazon Bedrock, offers a comprehensive observability solution that provides end-to-end insights into AI stacks, from code-level visibility to performance metrics, helping developers manage costs and ensure compliance. Amazon Bedrock, a serverless service, allows for the easy building and scaling of Generative AI applications using foundation models, while Dynatrace automatically collects real-time data and uses its Davis AI engine to predict resource usage and detect issues before they impact users. The integration of Dynatrace and Amazon Bedrock facilitates proactive monitoring, guardrail analysis, full-stack tracing, and compliance management, ensuring that AI applications are both innovative and reliable. By employing Traceloop OpenLLMetry to enhance data collection, teams can gain better insights into AI-specific KPIs and streamline debugging processes, ultimately improving performance and reducing unexpected operational expenses.