New Relic Announces The General Availability Of AIOps Platform

New Relic, one of the leading cloud-based observability companies, announced the general availability of New Relic AI, the AIOps platform.

In February 2019, New Relic acquired SignifAI, a Silicon Valley-based startup with offices in Sunnyvale and Tel-Aviv. SignifAI specialized in applying artificial intelligence (AI) and machine learning (ML) to IT operations. New Relic relied on the intelligent capabilities of SignifAI to add AIOps to its observability platform.

Branded as New Relic AI, the product becomes one of the key pillars of New Relic. With deep integration with the New Relic One observability platform, New Relic AI is an open incident correlation and intelligence solution that is source and data agnostic.

New Relic AI leverages the time-series database called New Relic Database (NRDB) to apply machine learning algorithms to the metrics, events, logs, and traces to find outliers in the patterns. NRDB is a purpose-built, distributed database to store telemetry data from a variety of sources in a uniform and consistent format. It is designed for high-performance and delivers lightning-fast responses when querying the datastore. New Relic AI derives context-based insights from the telemetry data ingested into NRDB.

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The platform performs anomaly detection by evaluating the telemetry data coming from disparate data sources. It enables customers to ingest, analyze, and take action on multiple data types, including alerts, logs, metrics and deployment events. IT and DevOps teams can find the issue and quickly navigate to the source causing the issue. This helps them in faster diagnosis and prioritization of incidents.

New Relic AI correlates data ingested from multiple sources to automatically filter the signal from the noise. This reduces the data deluge and alert-fatigue often experienced ITOps and DevOps teams. New Relic claims that by leveraging incident correlation, early access customers have reported that they have seen automatic reductions in alert noise by 50 percent.


One of the differentiating factors of New Relic AI is in its integration with mainstream monitoring, alerting and messaging systems such as Splunk, Prometheus, Grafana, Slack, PagerDuty, ServiceNow, OpsGenie and VictorOps. The platform augments public cloud-based monitoring platforms such as Amazon CloudWatch and Stackdriver through tight integration with AIOps. According to New Relic, customers can see a live view of ingested data, an intelligent summary of each incident, and have the ability to tune correlations with user feedback.

New Relic started as an Application Performance Monitoring platform but it quickly transformed into an end-to-end observability platform for modern infrastructure and applications. The company consolidated its APM and infrastructure monitoring into a unified platform branded as New Relic One.

New Relic AI brings intelligence to the APM and infrastructure monitoring through machine learning and artificial intelligence to deliver contextual and rich insight to IT operations and DevOps teams.

The AIOps market is witnessing a major consolidation. Within the last year, we have seen New Relic acquiring SignifAI, Splunk acquiring SignalFX, LogicMonitor acquiring Unomaly, ServiceNow acquiring Loom Systems and VMware acquiring Voyance.

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By expanding the portfolio to observability and AIOps, New Relic aims to go beyond traditional APM and infrastructure monitoring to strengthen its position in the emerging market predominantly driven by cloud native, hybrid and multi-cloud technologies.

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