Artificial Intelligence/Machine Learning-based performance monitoring of database applications to identify performance issues/bottlenecks that may lead to application failure. In response to identifying the performance issues, AI/ML-based analysis of the database is performed to determine the root cause of the performance issues and resolutions for addressing/overcoming the probable causes. As a result, a comprehensive system that capable of monitoring and determining database related performance issues within database application and capable of determining and implementing the resolution to such performance issues. In addition, an auto-correction feature for errors that may occur during the monitoring of the database applications and related analysis.