Nerdlog roundup: Cut MTTR and reduce alert fatigue with AIOps
Blog post from New Relic
New Relic's Applied Intelligence feature uses artificial intelligence and machine learning to detect anomalies in services, providing context clues and flagging patterns that look concerning. This feature complements traditional alerting by warning users about issues they didn't predict. The feature also provides root cause analysis, automatically analyzing issues and proposing a root cause on an issue page in Alerts & AI. Additionally, topology correlation increases context for issues by discovering relationships between anomalies and entities within the same service. These features aim to reduce alert noise and fatigue, allowing users to prioritize problems more efficiently.
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