AI-driven solutions in DevOps, particularly those utilizing Dynatrace AI, can significantly enhance automated problem resolution, a concept discussed in a recent webinar and elaborated in a subsequent blog post. The post contemplates the appropriate terminology for this approach, oscillating between "auto-mitigation," "auto-remediation," and "self-healing." It describes how Dynatrace AI can detect issues, such as process crashes or database slowdowns, and trigger AWS Lambda functions to automatically address root causes rather than symptoms. For instance, the system can restart crashed processes or temporarily scale services to handle increased loads, thereby minimizing disruptions without human intervention. These automated responses are documented within the Dynatrace Problem history for transparency and accountability. The blog emphasizes the shift from traditional, reactive problem-solving methods to proactive, automated solutions, which leverage AI to reduce Mean Time To Repair (MTTR) by utilizing comprehensive data and dependency analysis.