Proactive AIOps

Prevent service disruptions with predictive AIOps, proactive alerts, and advanced ML for instant causal analysis.

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DRIVE RELIABILITY AND UPTIME

Predict incidents and automate insights

Instantly detect anomalies

Easily reduce MTTD with predictable models for issue detection and abnormal pattern identification.

Correlate incidents

Investigate similar incidents together for faster mean time to investigate (MTTI).

Reduce noise

Cut your mean time to resolve (MTTR) with precise causal analysis, seeing root cause and relationship ID.

Collaborate faster

Predictive alerts for issue prevention and real-time cross-team collaboration with contextual notifications.

Root cause

Leverage AI-powered response intelligence

Automatically see why each alert event happened and understand its blast radius
Use customer-defined RAG and historical information in memory to enhance and accelerate analysis and remediation
View causal analysis for alert events with GenAI recommendations for mitigating actions

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Proactive Anomaly Detection

Activate outlier detection

Instantly surface the highest-urgency signal rather than chase noise
Easily identify emerging issues or system drifts using adaptive models to connect symptoms across your stack
Reduce false positives, and dramatically cut mean time to detection (MTTD) with advanced AI analysis

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Incident Correlation

Easily correlate alert events

Connect similar alert events into a single issue for simpler troubleshooting
Customize automatic alert event correlation with our decision engine
Easily identify affected services across the full stack and take action

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In Context

Prioritize critical alerts

Configure alert policies that prioritize what to work on first with specific notifications from New Relic workflows
Collaborate in real time with email, SMS, Microsoft Teams, and more
Auto-update incident response in context in ServiceNow and Jira

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Gett reduces MTTR by 50%

New Relic is now my No. 1 tool for incident management, both in how it helps manage every service, and creates the notification channels. Fine-tuning alerts minimizes mean time to detect from five to under two minutes.