Harness Service Reliability Management (SRM) is a tool designed to enhance software reliability by capturing and analyzing code-level data throughout the software delivery lifecycle. It emphasizes Continuous Reliability (CR), which balances speed, complexity, and quality by proactively managing reliability. SRM captures various types of data, including code metrics, true root causes, transaction performance, and system metrics, and applies advanced machine learning for prioritization and anomaly detection. This comprehensive data collection helps organizations pinpoint critical gaps and prioritize issues, offering insights beyond traditional stack traces by providing detailed information such as the source code and environment variables at the moment of an incident. By correlating code-level failures with system metrics, SRM offers a holistic view of application performance and dependencies, which aids in identifying the root causes of issues. The tool's unique capabilities are attributed to its use of code mapping, runtime code analysis, software data optimization, and machine learning, ensuring efficient and detailed observability and reliability in software delivery.