New Relic, the all-in-one observability platform for every engineer, has announced the enhancement of its AIOps capabilities with recommended alerts. By leveraging artificial intelligence (AI), New Relic’s recommended alerts aim to detect anomalous behavior, identify areas of the technology stack that are not being monitored, and recommend new alerts to engineers. This innovative feature eliminates alerting blindspots and empowers engineers of all experience levels to detect, resolve, and respond to issues faster.
In today’s dynamic landscape, engineering teams often struggle to configure alerts across different layers of the technology stack. Manual creation of alert policies can be time-consuming and resource-intensive, leading to significant gaps in the team’s alerting policies. This can leave teams blind and unable to respond quickly and confidently when things break. New Relic’s recommended alerts are designed to remove these barriers and provide teams with the alerts they need to proactively monitor their stack, diagnose incidents, and prioritize them for immediate action.
With its alert coverage gaps feature, powered by AIOps, New Relic continuously and automatically highlights areas in an organization’s technology stack that lack alert coverage. This feature spans across application performance monitoring (APM), mobile, and browser entities. New Relic then fills these alerting gaps by recommending new alerts with pre-populated alert conditions, such as error percentage or response time. Engineers can customize these recommendations by implementing additional parameters to tailor the alert conditions and improve coverage for the team.
New Relic recommended alerts build upon New Relic AI, a suite of AIOps capabilities that leverages machine learning (ML) and AI to reduce alert noise, provide context to incidents, and offer intelligence and automation to engineering teams in real-time. By utilizing New Relic AI, engineers can detect, diagnose, and resolve incidents faster, continuously improving their incident management workflow.
According to a Forrester Research report, successful AIOps solutions are more than just technology – they rely on AI’s active capabilities. AIOps can lead to improved system resilience, decreased downtime, improved mean-time-to-resolution, and even the avoidance of certain incident scenarios. New Relic’s recommended alerts embrace these principles and strive to enhance alerting capabilities for engineering teams.
In addition to recommended alerts, New Relic is also introducing New Relic Grok, currently in early access. This feature will enable engineering teams to ask questions in natural language to enhance their alert strategy and obtain better alert coverage. For example, engineers can ask, Hey Grok, what are the uncovered entities that I should be monitoring, and what are the recommended conditions for this alert? New Relic Grok aims to further optimize alerting capabilities and provide engineers with even more robust coverage.
Recommended alerts are now available at no additional cost to existing New Relic users as part of the New Relic platform. These enhancements equip IT teams with the tools they need to stay ahead of crucial issues, respond quickly to incidents, and prevent disruptions to performance and end-user experiences. With AI-powered recommended alerts, New Relic continues to solidify its position as a leading observability platform for engineers across various industries.
