Nerdlog roundup: Cut MTTR and reduce alert fatigue with AIOps
Blog post from New Relic
New Relic's anomaly detection utilizes AIOps to alert users when a service appears to be in trouble, enhancing proactive detection by identifying concerning patterns through AI and ML. This feature supplements existing alert systems by warning about unforeseen issues, while the Applied Intelligence anomalies feed offers a centralized location for viewing these anomalies. Root cause analysis is automated to help identify issues and propose solutions, grouping related events to provide context without replacing human operators. Topology correlation adds a new layer to event correlation by connecting anomalies within the same service, thus improving the accuracy and speed of identifying related issues. These enhancements aim to reduce alert fatigue and streamline incident management, with additional resources available for users to learn about deploying these features.