Harness employs its 24/7 Service Guard and machine learning technology to monitor and address production anomalies rapidly, exemplified by resolving incidents within 18 minutes. They have been deploying to production daily for years, aiming to lead by example in Continuous Delivery. Harness emphasizes automation and monitoring to maintain high deployment speed without overwhelming their on-call team. They acknowledge that simulating production environments in QA is often impractical for complex applications, but their Service Guard product is designed to identify and fix issues quickly. The platform collects various application signals, such as transactional, JVM, and database metrics, and employs a color-coded heatmap to indicate risk levels. Integration with providers and notification systems like Slack and PagerDuty enables prompt incident resolution, demonstrating Harness' commitment to "move fast, but fix faster."