This talk will explore the integration of Generative Artificial Intelligence (AI) to enhance decision-making and diagnosis in Site Reliability Engineering (SRE). Leveraging the capabilities of Generative AI, we propose an Omni-functional approach to synthesizing insights from diverse sources, including project management, application portfolio management, enterprise architecture, cost management, and business process management tools and other IT4IT tool ecosystems. By harnessing Generative AI, SRE teams can gain deeper insights into system behavior, identify potential issues, and make informed decisions to optimize reliability, performance, and scalability. Through scenario simulation, anomaly detection, optimization recommendations, and natural language understanding, Generative AI empowers SREs to proactively address challenges, automate remediation actions, and enhance the overall reliability and resilience of software systems. This paper presents a technical framework for integrating Generative AI-powered Omni-functional Insights into the SRE workflow.