What metrics would you use to evaluate Veritas Technologies's InfoScale software-defined storage platform?

Introduction

Evaluating the success of Veritas Technologies's InfoScale software-defined storage platform requires a comprehensive approach to metrics. As a product leader, I'll outline a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders involved in this enterprise storage solution.

Step 1

Product Context

InfoScale is Veritas Technologies' software-defined storage platform designed for enterprise customers. It provides a unified solution for storage management, high availability, and disaster recovery across physical, virtual, and cloud environments.

Key stakeholders include:

1. Enterprise IT departments: Seeking efficient, scalable storage solutions
2. CIOs and CTOs: Focused on cost-effectiveness and alignment with digital transformation strategies
3. System administrators: Require ease of management and robust features
4. End-users: Expect high performance and availability of data and applications

User flow typically involves:

1. Initial deployment and configuration of InfoScale across the enterprise infrastructure
2. Ongoing management of storage resources, including provisioning, optimization, and monitoring
3. Leveraging built-in high availability and disaster recovery features to ensure business continuity

InfoScale fits into Veritas's broader strategy of providing comprehensive data management solutions for enterprise customers. It complements their backup and recovery offerings, positioning Veritas as a one-stop-shop for enterprise data needs.

Compared to competitors like Dell EMC PowerFlex or IBM Spectrum Virtualize, InfoScale differentiates itself through its integration with Veritas's wider portfolio and its focus on heterogeneous environments.

Product Lifecycle Stage: InfoScale is in the maturity stage, with a well-established market presence but facing pressure from cloud-native solutions and software-defined storage startups.

Software-specific context:

• Platform: Runs on various operating systems, including Windows, Linux, and Unix
• Integration points: Connects with multiple hypervisors, public clouds, and storage hardware
• Deployment model: On-premises with options for hybrid cloud integration