New Relic Predictions employs AI and machine learning to transition IT incident response from a reactive approach to a proactive one. Traditional alert systems notify teams after an issue has occurred, leading to prolonged downtimes and inefficient resolutions. In contrast, New Relic Predictions analyzes historical data to forecast future trends, enabling users to receive alerts when potential issues may arise. This not only maintains operational uptime but also enhances efficiency and helps prevent revenue loss due to system failures or performance degradations. Predictive Alerts can forecast multiple incoming data points based on historical trends, allowing teams to act before issues escalate.
New Relic Predictions flips the paradigm from reactive incident response to proactive incident prevention, using advanced AI and machine learning algorithms to analyze historical data and provide proactive alerts.
Traditional alerts have a significant drawback—they tell you something is wrong after it’s already happened, forcing Site Reliability Engineers into reactive mode, leading to prolonged downtime.
The Predictive Alerts feature utilizes historical data to fit a predictive model, predicting up to 360 future data points and enabling preemptive measures when thresholds are breached.
Predicting future trends and potential system issues is now a must-have tool for maintaining uptime and increasing operational efficiency.
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