ClickHouse has emerged as a preferred database for real-time analytics due to its ability to handle high concurrency and low-latency queries, making it ideal for both analytics and observability. The unification of these domains is facilitated by tools like ClickStack, which integrates ClickHouse, HyperDX, and OpenTelemetry to provide a comprehensive observability stack. ClickStack simplifies the process of correlating analytics data with observability metrics, as demonstrated by the ClickPy project, which analyzes Python package downloads at scale. By instrumenting applications with ClickStack SDKs, developers can gain deep visibility into application performance and user experience through traces and session replays. This approach allows for the correlation of application metrics, such as package downloads, with performance metrics, like query latency, treating observability as a data problem to be solved within the same engine. This setup not only aids in identifying and optimizing slow queries and performance anomalies but also offers a unified view of data that enhances debugging and insight generation.