Since the emergence of DevOps in the late 2000s, DevOps automation has evolved significantly, now advancing from event-driven automation to answer-driven automation powered by causal AI. This shift addresses the need for efficiency and scalability in DevOps and SRE by moving beyond passive observations to proactive and precise actions based on comprehensive data analysis. Event-driven automation, which reacts to specific triggers like shopping cart abandonment or cybersecurity threats, laid the groundwork by providing real-time, rule-based responses. However, answer-driven automation, enhanced by AI, offers a more nuanced approach by analyzing context and delivering intelligent, business-value-oriented actions. This includes optimizing online shopping experiences, improving threat detection, managing progressive software delivery, remediating incidents, and safeguarding production environments. Platforms like Dynatrace, which integrate observability, causal AI, and predictive AI, exemplify how organizations can harness these capabilities to deliver better software, faster and more securely, marking a new frontier in DevOps automation.