Lantern

Autonomous anomaly detection

  1. Performs state-of-the-art anomaly detection on your Segment metrics

  2. Instantly surfaces issues with real-time alerts on Slack

  3. Monitors your metrics exhaustively, nothing will go unnoticed

  4. Reveals affected user groups to facilitate root-cause investigation

  5. Sends daily heartbeat with insights about your metrics

  6. One-minute setup with Segment, no coding involved

Lantern

How Lantern works

Lantern automatically performs anomaly detection on all your product metrics and sends real-time alerts on Slack when something doesn’t look right. Using machine learning, Lantern is able to identify a precise profile for each metric (trends, seasonalities, variance, etc.) and detect when an abnormal variation occurs (level-change, spike/drop, trend-change). By knowing which metrics are affected by abnormal variations, you get full visibility over your product and user behavior.

Real-time alerts on Slack
Real-time alerts on Slack
Daily heartbeat with insights
Daily heartbeat with insights
Interact with the Slack bot
Interact with the Slack bot
Lantern

Get more out of Lantern with Segment

Lantern has been specifically built to work with Segment and can be enabled in one minute using the “Enable With Segment” OAuth button on the Lantern website. All you need to do is pick your Segment source(s) and Lantern will start performing anomaly detection on all the metrics coming from them, no coding nor extra setup involved. Lantern monitors each ‘track’, ‘page’, ‘screen’ and ‘identify’ event to detect abnormal traffic patterns. It will alert you on Slack when it detects an anomaly, which means that all you need to do is sit back and focus on your roadmap ahead.

Integrate Lantern with Segment

Segment makes it easy to set up Lantern.