What metrics would you use to evaluate Rubrik's Polaris GPS global policy engine?

Introduction

Evaluating Rubrik's Polaris GPS global policy engine requires a comprehensive approach to product success metrics. This powerful tool, designed to streamline data management across complex multi-cloud environments, demands careful consideration of various stakeholders and performance indicators. I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Rubrik's Polaris GPS (Global Protection Service) is a SaaS-based policy engine that enables organizations to manage and protect data across multi-cloud environments. It's designed to simplify compliance, reduce risk, and optimize resource utilization for enterprises dealing with complex data landscapes.

Key stakeholders include:

1. IT administrators: Seeking simplified management and policy enforcement
2. Compliance officers: Ensuring data protection meets regulatory requirements
3. C-suite executives: Looking for cost optimization and risk reduction
4. End-users: Expecting seamless data access and protection

User flow:

1. Administrators define global policies based on business requirements
2. Polaris GPS automatically applies these policies across various cloud environments
3. The system continuously monitors and enforces compliance, generating alerts for any violations

Polaris GPS fits into Rubrik's broader strategy of providing a unified data management platform for the multi-cloud era. It differentiates from competitors like Commvault and Veeam by offering a cloud-native, policy-driven approach that spans multiple environments seamlessly.

Product Lifecycle Stage: Growth phase - The product has proven its value but is still expanding its feature set and market penetration.

Software-specific context:

• Platform: Cloud-native SaaS
• Integration points: Multiple cloud providers (AWS, Azure, Google Cloud), on-premises infrastructure
• Deployment model: Hybrid (cloud-based control plane with on-premises connectors)