Harness's Custom Recommendations feature, driven by Cloud Asset Governance, offers a flexible approach to cloud resource optimization via simple YAML policies that extend beyond cost concerns to address security, compliance, and tag automation. Unlike traditional recommendation systems that are often prescriptive and limited, this feature allows for highly customized recommendations, such as optimizing Lambda functions for startup performance with SnapStart, by leveraging policy-as-code. Harness achieves comprehensive cloud resource coverage across AWS, Azure, and GCP, enabling tailored recommendations for resources like EC2 instances, Virtual Machines, and Compute Engine instances. By integrating with Cloud Custodian, it supports extensive cloud assets and enables the creation of custom recommendations to manage infrastructure efficiently. This initiative is part of Harness's broader effort to democratize cloud cost optimization, empowering teams to control and implement cost-saving measures effectively.