The need to optimize IT resources and otherwise cut costs is always a top priority. While budget constraints will always be present, the onslaught of cyberattacks has given precedence to optimizing cyber resilience to avoid and mitigate business disruption and loss of sensitive and critical data. A challenge facing practitioners as they work to optimize cyber resilience for their organization is the intersection point of traditional and modern workloads, such as artificial intelligence (AI) and cloud-native applications. This adds complexity and creates new requirements, including the need to support bare metal, virtual machine, and container environments alike, the need for a consistent, shared data layer, and the need to avoid vendor lock-in.