Developed a reliability enhancement for the pinterest/teletraan deployment system by implementing a retry mechanism for Facter facts retrieval, specifically targeting critical data such as instance ID and availability zone. This approach addressed transient failures by ensuring facts are fetched without relying on cached values, thereby reducing deployment outages and improving overall system resilience. The solution was built using Python and focused on backend development and API integration, with comprehensive unit tests validating behavior across success, failure, and retry scenarios. This work contributed to more robust deployments by proactively handling intermittent fact-fetch issues and aligning with ongoing efforts to improve deployment reliability.