Worked on the redis/redis repository to enhance reliability instrumentation for Redis RDB persistence by developing a metric that tracks consecutive RDB persistence failures. This feature, implemented in C with system programming and testing skills, enables differentiation between persistent and transient save issues, improving the accuracy of triage and reducing potential downtime. The approach focused on observability, providing clearer diagnostic signals for root-cause analysis and supporting targeted remediation of persistence-related outages. Detailed commit messages were included to document the rationale and impact, ensuring maintainability and facilitating future audits. The work aligns with broader goals of system reliability and operational transparency.