Reducing Alert Noise Intelligently with New Relic

It’s harder and slower than ever for DevOps, Site Reliability Engineers, and on-call teams to diagnose and resolve incidents. New Relic Applied Intelligence helps cut through alert noise by applying machine learning and AI to correlate related incidents and suppress low priority and flapping alerts, so that you can prioritize and focus on the issues that matter most.

New Relic Applied Intelligence works out of the box to correlate incidents. Additionally, you have the ability to create your own decisions with the help of the correlation assistant, which gives you even more control over how you reduce alert noise.

The ML gets smarter over time as it trains on your usage. Additionally you can train the models with your feedback, so they get smarter and tailored to your individual system. Issues are enriched with additional context and potential root causes are surfaced.

Data can be ingested from almost any source and two-way integrations for correlated issues are available for PagerDuty and ServiceNow.

Reduce alert fatigue so you find and fix issues before your customer is impacted.


0:00 - Intro
0:06 - Incident correlation
0:13 - Intelligent enrichment
0:21 - Root cause analysis
0:27 - Related activity
0:50 - Correlation assistant
1:21 - Key statics
1:26 - Decision logic
1:32 - Data sources
1:45 - Incident response

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