Designed and implemented a virtual Database Administrator (DBA) service capable of autonomously troubleshooting and resolving predefined database issues. This service functioned as a virtual DBA, leveraging a rule-based diagnostic engine to identify and address common problems. For instance, it could detect and resolve issues such as MySQL database crashes on T2 instances caused by excessive load. By automating these diagnostics and remediations, the service effectively handled 40% of the ticket queue, significantly reducing manual intervention, improving response times, and enhancing system reliability. Additionally, the solution was designed to scale across various database environments and integrated seamlessly with existing monitoring and alerting systems, further streamlining operations.