At Cloudflare, the challenge of identifying the root cause of configuration management failures amidst a surge of changes across thousands of servers was addressed by improving the infrastructure around Salt, a configuration management tool. By solving an architectural issue, they developed a self-service mechanism to efficiently trace failures back to their origins, such as specific git commits or external service disruptions, reducing release delays and repetitive triage tasks for Site Reliability Engineers (SREs). Salt, with its master-minion architecture, allows Cloudflare to manage large server fleets, ensuring configurations remain consistent and traceable. Failures often stem from misconfigurations, such as syntax errors or missing data, which are reported with specific retcodes. To streamline failure analysis, Cloudflare created an automated system that caches job results on minions, enabling immediate retrieval and error attribution. This led to the development of the Salt Blame module, which identifies the first failure in job history and correlates it with potential causes, significantly accelerating the troubleshooting process. Automation further enhanced this system, allowing engineers to triage failures more efficiently, even across multiple datacenters, reducing the time spent on manual root cause analysis by over 5%. By implementing mechanisms to measure and analyze failure causes, Cloudflare aims to improve their release process and reduce operational toil, ultimately enhancing the reliability and speed of their service delivery.