Reduce alert noise using decisions in New Relic applied intelligence
Blog post from New Relic
New Relic Applied Intelligence (AI) is designed to alleviate alert fatigue by correlating related alerts into single actionable issues through machine learning and user-generated decisions. This system helps prioritize and focus on the most critical issues by reducing the number of alerts received, offering visibility and context for related incidents. Users can create and preview decisions tailored to their data, allowing them to refine correlation logic and reduce unnecessary alerts further. New Relic AI utilizes features like flapping detection to minimize alert noise and offers tools to gauge the effectiveness of incident correlation, empowering users to optimize their incident response process. By understanding and leveraging New Relic AI's capabilities, users can achieve faster mean time to resolution (MTTR) and build trust in their incident response process.