Dynatrace's Grail data lakehouse introduces custom buckets to enhance data management by allowing users to control data retention and access policies, optimizing cost and availability while ensuring compliance with regulations. This feature addresses the traditional challenges of observability and business-data storage, which often involve costly compromises between data retention and accessibility. By enabling granular data management without the overhead of archiving or retrieval processes, Grail provides a transparent pricing model based on data retention duration and read-data volume, eliminating hidden fees. Users can create custom buckets for specific use cases, such as retaining logs for debugging, infrastructure monitoring, or compliance with local regulations, and manage these buckets via an API with strict permission policies. The solution empowers businesses to derive quick insights from their data without performance degradation, maintaining a balance between cost-efficiency and compliance.