Chris Parrinello developed a new Application Performance Monitoring metric for the elastic/elasticsearch repository, focusing on tracking the duration of the DFS search phase at the shard level. Leveraging Java and YAML, Chris instrumented the backend code to capture granular performance data, ensuring metric naming aligned with existing APM dashboards and standards. This addition enhanced observability by providing detailed insights into search phase timings, which supports faster root-cause analysis and more informed capacity planning. The work demonstrated a strong understanding of backend development and performance monitoring, delivering a targeted feature that improves troubleshooting and operational decision-making for Elasticsearch deployments.