Reliability Management provides a proactive, standards-based framework to enhance the reliability of complex, distributed systems by baselining, remediating, and automating reliability processes. Traditional methods such as incident response, observability, and Chaos Engineering, while useful, focus on reactive measures and do not offer comprehensive solutions. Reliability Management, as implemented through platforms like Gremlin, offers organizations a systematic approach to measure and mitigate reliability risks before incidents occur, using pre-built tests and an objective scoring system to evaluate service reliability. This approach allows IT executives, SRE, DevOps teams, and application owners to proactively identify areas of risk, streamline reliability testing, and maintain standards across the organization, ultimately leading to faster release cycles and improved customer experiences. Through automated, continuous testing, the platform enables tracking of week-over-week trends to ensure ongoing improvement, and its integration capabilities with CI/CD platforms facilitate advanced workflows, such as blocking deployments if reliability scores fall below thresholds, thus supporting a stronger reliability posture across the organization.