New Relic announced that it has further enhanced its AIOps capabilities with recommended alerts. This provides the ability to quickly detect and easily resolve alert coverage gaps by using AI to identify anomalous behavior, determine areas of the technology stack that aren't being monitored, and recommend new alerts to engineers. The industry's only observability solution that reduces the need to manually build numerous alert conditions using AI makes it easier to understand which signals are most important or what thresholds indicate performance problems. Now, every engineer, regardless of their experience level, can eliminate alerting blindspots--empowering them to detect, resolve, and respond to issues faster.

Powered by AIOps, New Relic recommended alerts streamlines alerting with its alert coverage gaps feature, which continuously and automatically highlights areas in an organization's technology stack that are missing alert coverage across application performance monitoring (APM), mobile and browser entities. Then, New Relic fills alerting gaps by recommending new alerts with pre-populated alert conditions, such as error percentage or response time. Using the recommendations as a starting point, engineers can also customize their alerts by implementing additional parameters to tailor the alert conditions and drive even better coverage for the team.

New Relic recommended alerts builds upon New Relic AI, a suite of AIOps capabilities that understands historical alerts and applies machine learning (ML) and AI to significantly reduce alert noise, enrich incidents with context, and provide intelligence and automation to engineering teams in real-time. With New Relic AI, engineers can detect, diagnose and resolve incidents faster, and continuously improve incident management workflow.