Worked on the hyperledger-labs/splice repository to deliver enhanced observability for reward processing by implementing Reward Processing BFT Reads Metrics. Focused on backend development using Scala, the contribution introduced new metrics that track BFT read activity within reward processing triggers, specifically adding counters for root hashes and batches. This technical approach enables more granular monitoring and supports data-driven troubleshooting by allowing faster detection of anomalies in the reward processing path. The work emphasized metrics monitoring and reliability, providing a targeted code change that improves the system’s ability to alert and inform stakeholders about the health and performance of critical backend processes.