In the realm of embedded analytics, achieving sub-second query performance is essential for user satisfaction, and Cube Cloud offers a comprehensive solution to meet this demand. The process begins by tackling slow queries, which can stem from non-pre-aggregated data causing queue bottlenecks and low concurrency issues. Solutions include increasing database concurrency and using pre-aggregations. For pre-aggregated queries, optimizing data granularity and partition size is crucial, while using no more than five partitions per query is recommended for optimal performance. Incorporating indexes becomes a pivotal strategy in enhancing query speed, acting like shortcuts that streamline data retrieval. Understanding the data access patterns helps determine which columns to index, significantly reducing processing time. Cube Cloud provides guidance on utilizing indexes effectively, transforming cumbersome analytics into a seamless, fast experience. Additionally, addressing pre-aggregation build failures by managing resource constraints and optimizing queries ensures stability. The narrative of Cube Cloud is one of identifying bottlenecks, optimizing processes, and efficiently managing resources to deliver the quick, smooth analytics experience users expect.