Developed PyZeebe instrumentation for the newrelic-python-agent repository, enabling detailed tracing of Zeebe client interactions within Camunda-based workflows. Focused on capturing and exposing tracing attributes for core Zeebe operations such as deploying resources and publishing messages, the work enhanced end-to-end observability and facilitated precise performance diagnostics. Leveraged Python and testing frameworks to implement robust instrumentation, ensuring it functioned correctly both inside and outside New Relic transactions. Comprehensive tests validated the integration, supporting faster issue diagnosis and improved correlation of Zeebe-driven workflows with application metrics. This contribution strengthened monitoring capabilities for teams integrating Camunda Zeebe with Python applications.