Harness Continuous Verification (CV) is a tool designed to enhance the reliability and resilience of software deployments by integrating machine learning-driven verification and validation processes into Continuous Delivery (CD) pipelines. By connecting with observability, monitoring, and logging tools such as Prometheus, Datadog, and Splunk, CV allows for the automatic assessment of deployment health and facilitates judgment calls on deployment success without the need for manual intervention by Site Reliability Engineers (SREs). This feature is especially beneficial in modern software environments where microservices and atomic deployments create complexities in determining deployment success. CV supports various deployment strategies, including canary deployments, and aims to balance innovation with reliability by identifying potential issues before they impact production environments. This systematic approach not only reduces the risk associated with changes but also addresses the scalability challenges of manual verification, ultimately fostering a culture where reliability is a shared responsibility across engineering teams.