New Relic AI helps you detect potential problems earlier, reduce alert fatigue, and diagnose and respond to incidents faster. It includes:
Continuously evaluate your telemetry data for potential issues and get proactive notifications in your collaboration tools to act quickly and prevent larger problems.
Reduce alert noise and increase context, making the alerts you receive more meaningful and actionable so you can fix issues faster and with more confidence.
Proactive Detection Features
Real-time failure warnings
Get immediate insights about anomalies in your production system. Real-time failure warnings notify you when an anomaly is detected based on key golden signals such as throughput, response time and errors. When the anomaly goes back to normal, a recovery message is sent.
Temporarily or permanently mute warnings for a particular application or all applications monitored in New Relic. This is useful during times of scheduled maintenance or testing.
Dig deeper by analyzing anomalies
See critical details about anomalies, including attributes that caused spikes, related signals to investigate root cause by looking at what happened around the anomaly, and see upstream and downstream dependencies.
Integration with Slack
Send anomaly notifications into your preferred Slack channels where your on-call teams collaborate on incidents.
Integrate custom notification channels
Send detected anomalies to your tools of choice by utilizing webhooks to trigger notifications.
Incident Intelligence Features
Connect data from any source
Easily connect your preferred incident management and monitoring tools with minimal configuration required, and ingest alerts, incidents and event data from any source. New Relic AI normalizes your data, establishes relationships between incidents, and groups related ones.
View an intelligent feed of all incidents
New Relic AI includes an intelligent feed of incident information that displays everything you need to troubleshoot and respond to problems. You can see all issues, including their duration, number of raw incidents correlated, and filter based on issue state, priority and the originating source.
See correlated incidents via issue pages
New Relic uses industry standard knowledge and global decisions based on your data as well as human-generated logic to automatically correlate related incidents and suppress low-priority alerts. Within the issue page for each correlated issue, you can view a full issue log to track its progress over time, details about why the incident was correlated, and a related activity section to get information about previous issues that may have a similar cause or affected components to the issue you’re currently troubleshooting.
Get transparency into why alerts are correlated
See why alerts were correlated and give feedback to increase accuracy in the future. You can view the specific rule logic that informed the correlation, which can be helpful for gaining greater insight into the problem as a whole. For example, if a decision involves comparing application names for similarity, you know that a specific application may be affected by a particular issue.
Build custom decision logic to tune correlations
New Relic AI gives you the flexibility and control to tune the correlation engine with your own logic. An intuitive decisions builder lets you tell us what data you want to compare, how you want to correlate the data, and the time period and minimum number of alerts to use as a threshold.
Reduce alert noise with grace periods and auto-close inactive issues
New Relic AI provides a configurable set of filters to specify a grace period for each issue priority, which tells the system how long to wait before surfacing a new incident. During this time, New Relic AI will evaluate if the incident is correlated with other incoming incidents, if it’s flapping, or if it’s auto-resolving. You can also configure an option to auto-close inactive issues.
Measure your rate of noise reduction
Get insights into your rate of total incidents correlated, total correlated issues, your rate of noise reduction, and the most common reasons why incidents are correlated.
Get context and enrichment on incidents
Incidents are automatically classified based on SRE golden signals such as latency, errors, saturation and traffic, so you can get to probable root cause faster. In addition, you can view related components affected to isolate the problem, and get guidance on who should respond so you can route incident data more efficiently.
View correlated, enriched incidents in your tools of choice
New Relic AI surfaces correlated incidents and enrichment in your destination tools of choice -- including PagerDuty, OpsGenie, ServiceNow, VictorOps and more -- so you don’t need to reinvent the way you respond to incidents.
Choose how and where to escalate incidents with pathways
Easily choose which correlated issues get sent to where with the help of pathways, which are logical routes for sending correlated, enriched incidents to specific destinations. For example, you can specify that all incidents with a particular application name get sent to that app team’s dedicated PagerDuty service.
Increased accuracy over time
New Relic AI builds system specific knowledge and gets smarter over time. You can provide thumbs up or down feedback on the quality of issue correlations to tune the system in real-time and help it adjust, learn and provide even more relevant insights.