Organizations are increasingly turning to data lakehouses combined with software intelligence to transform log data into meaningful insights, advancing IT automation and overcoming the challenges posed by traditional data silos. Logs, distributed traces, and metrics are essential for optimizing application performance and infrastructure, but their value diminishes in the fragmented, multicloud environments common today. A data lakehouse, integrating the flexible storage of a data lake with the management capabilities of a data warehouse, provides a centralized repository for structured and unstructured data, enabling real-time access and analysis without the need for costly indexing. By utilizing AI-driven software intelligence, teams can contextualize and monitor data at scale, enhancing AIOps and providing precise answers to IT issues in real time. This modern approach not only reduces storage costs but also eliminates team silos, offering faster, higher-quality insights and ensuring proactive problem resolution. Dynatrace's unified platform exemplifies these innovations by providing a comprehensive data management solution that enhances cloud transformation and operational efficiency, ultimately delivering better business outcomes.