Merge pull request #22150 from jongar998/whats-new-11-05-Outlier-Detection

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Author: adutta-newrelic

src/content/whats-new/2025/11/whats-new-11-05-outlier-detection.md

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+---
+title: 'New Relic Outlier Detection in public preview'
+summary: 'New Relic Outlier Detection now in Public Preview'
+releaseDate: '2025-11-05'
+---
+
+Proactively find "noisy neighbors" and abnormal behavior in your stack.
+
+New Relic is excited to announce that Outlier Detection is now available in Public Preview as of November 4, 2025!
+
+This feature automatically identifies entities (like hosts or containers) that are behaving significantly differently from their peers. Unlike anomaly detection, which tracks changes over time, outlier detection spots deviations within a group, helping you pinpoint problems early and reduce your MTTD and MTTR.
+
+## What's New in public preview
+
+Based on feedback from our limited preview, we've made key improvements:
+
+  * **New 'Auto Mode'**: We've introduced an Automatic mode that dramatically simplifies setup. Just set your desired Sensitivity and New Relic handles the algorithm configuration for you.
+  * **Opt-In Required**: For our valued users who participated in the limited preview, please note you will need to opt-in again to access the new Public Preview features.
+
+## Key use cases
+
+  * Find imbalanced Kafka brokers with abnormal CPU I/O wait times.
+  * Identify resource utilization outliers (both under- or over-utilized).
+  * Detect "noisy neighbor" applications hogging shared resources.
+  * Spot Java applications with abnormal Out of Memory (OOM) error rates.
+
+## Get started
+
+Outlier detection is now available to try in public preview.
+
+To create your first condition, navigate to **All capabilities > Alerts > Alert Conditions**. When you reach the **Set thresholds** page, simply select the outliers option. You can then choose the new **Automatic Mode** for simplicity or **Manual Mode (DBSCAN)** for fine-grained control.
+
+Check out our documentation to get started:
+
+[Setup guide](https://docs.newrelic.com/docs/alerts/create-alert/set-thresholds/outlier-detection/)