pgX aims to integrate database monitoring with application performance management (APM) for PostgreSQL, addressing the common issue of siloed observability. As software systems grow, the interactions between application usage and database behavior become more complex. Relying on separate tools for application and database monitoring leads to slower diagnosis and misattributed performance issues. Engineers often find themselves manually correlating data across platforms, which increases the time to resolve incidents and muddles accountability within teams. PostgreSQL is frequently monitored in isolation due to its robust defaults and early simplicity, but this approach breaks down as systems scale and traffic patterns evolve. Issues like rising query latency or lock contention become harder to diagnose without a unified view. pgX seeks to change this by providing a platform where database metrics coexist with application traces and infrastructure signals. It emphasizes the need for shared timelines and identifiers, enabling engineers to see how user behavior, features, and application changes impact database performance. The article also highlights the organizational costs of split observability. During incidents, teams waste time confirming whether the database is the source of problems, leading to slower recovery times. After incidents, incorrect optimizations based on inferred correlations can erode leadership trust in both the tools and the processes. By treating PostgreSQL not just as a dependency but as an integral part of the system, pgX encourages teams to adopt a holistic approach to observability. This shift is essential for effective troubleshooting and performance management in modern applications.