DRIVE RELIABILITY AND UPTIME
Predict incidents and automate insights
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CONTEXTUAL ROOT CAUSE ANALYSIS
Understand root cause in business context
- Identify root cause in seconds by correlating logs, metrics, traces, and changes across your entire stack
- Ground every insight in business context including: the affected transaction, service ownership, and revenue impact
- Follow proven runbooks and similar past incidents to implement recommended next steps
Proactive Anomaly Detection
Activate outlier detection
- Surface the highest-urgency signal rather than chase noise
- Identify emerging issues or system drifts using adaptive models to connect symptoms across your stack
- Reduce false positives and cut mean time to detection (MTTD) dramatically with advanced AI analysis
Incident Lifecycle
Manage incident lifecycle seamlessly
- Resolve issues faster with a workflow that’s an overlay on your telemetry, providing access to traces, logs, and metrics
- Identify and page the right experts based on service telemetry using integrated on-call scheduling and escalation policies
- Create incident timelines and postmortems instantly to reduce hours of manual documentation effort to minutes
AI-POWERED KNOWLEDGE
Understand every alert with knowledge, not guesswork
- Surface relevant system knowledge including services, dependencies, and past incidents
- Connect alerts to historical insights and telemetry to eliminate manual investigation
- Accelerate root cause analysis with AI-powered knowledge built from your entire stack
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.
