Elevated Observability for AI-era Business Outcomes

This whitepaper discusses the concept of Elevated Observability, which is positioned as an advancement over traditional observability. It outlines the limitations of conventional observability, which primarily focuses on monitoring and troubleshooting, and highlights the need for a more comprehensive approach that supports business outcomes. Elevated Observability aims to provide enriched, AI-ready data and insights that can be utilized by various teams beyond operations, thus facilitating better decision-making. The document details the components of Elevated Observability, including app-aware traffic management, practical AI enablement, and plain-English access to insights. It emphasizes the importance of a shared understanding across departments to avoid siloed data and fragmented analytics. Furthermore, the paper describes the operating model of Analyze, Optimize, Monetize, and Secure, which serves as a framework for organizations to enhance their observability capabilities and achieve desired business outcomes effectively.