Developed granular, entity-level maintenance job metrics for the linkedin/openhouse repository to enhance backend observability and support more effective SLA tracking. Focused on Java-based instrumentation, the work introduced per-entity counters for triggered, skipped, and completed maintenance jobs, enabling precise mapping between failures and affected entities. This approach reduced the need for manual log analysis and accelerated root-cause diagnosis for maintenance tasks. Integrated the new metrics with the existing monitoring stack, supporting dashboards and alerting for ongoing reliability improvements. The project emphasized backend development, metrics tracking, and observability, laying the groundwork for targeted remediation and improved operational transparency.