New Relic enhanced New Relic AI, a suite of AIOps capabilities built for on-call DevOps, Site Reliability Engineering (SRE) and network operations center (NOC) teams responsible for operating modern infrastructure.
New Relic AI provides advanced applied intelligence (AI) and machine learning (ML) technologies to help customers detect, diagnose and resolve incidents faster, and continuously improve incident management workflow.
“New Relic's goal is to help reduce the toil and anxiety of running modern systems for engineering teams. We're proud to report that our early-access customers reported that they have seen automatic reductions in alert noise by 50 percent -- and some as much as 80 percent within days,” said Guy Fighel, GVP and Product GM at New Relic. “New Relic AI is the only solution that has the automation, intelligence and scale-out architecture needed to deliver true observability and offer precise insights that today’s modern and complex enterprises require. We continue to push the boundaries to empower DevOps and SRE teams as we enhance our platform relentlessly.”
New Relic AI delivers a holistic AIOps solution that not only understands historical alerts, but also applies machine learning and AI to significantly reduce alert noise, enrich incidents with context, and provide intelligence and automation to on-call teams in real-time. Deeply integrated with the New Relic One observability platform, New Relic AI is an open incident correlation and intelligence solution that is source and data agnostic. With unique access to NRDB, a unified telemetry database, New Relic AI fuels ML models and provides an intelligent, context-rich incident response workflow, drawing on key capabilities that include:
- Proactive Detection to detect problems earlier: Continuously evaluates telemetry data for anomalies and proactively notifies customers in their existing collaboration tools. This allows for quick action to prevent larger problems before they impact customer experience. New Relic AI enables customers to ingest, analyze, and take action on multiple data types, including alerts, logs, metrics, deployment events and more. This gives teams better context into incidents that occur and how they impact the broader environment, so they can diagnose and prioritize problems faster.
- Incident Intelligence to reduce alert noise and diagnose and respond faster: New Relic AI deeply integrates with many data sources to group related alerts and incidents and includes AI/ML-powered suggested correlations to help customers prioritize alerts and focus on the most important issues. Alert noise is automatically reduced by correlating related alerts, events, and incidents, while also suppressing flapping and low-priority alerts. Correlated incidents are enriched with context, automatically classified based on golden signals (i.e. errors, saturation, traffic, latency), as well as identifying related components affected and suggesting responders, to help on-call teams get closer to root cause and take action faster. In addition, it frees users from the steep learning curves, lengthy implementations and complex integrations typically found with other AIOps tools. By leveraging incident correlation, early access customers have reported that they have seen automatic reductions in alert noise by 50 percent.
- Deep integration with existing incident management workflows: New Relic AI integrates with Slack, PagerDuty, ServiceNow, OpsGenie, VictorOps and other tools to fit within customers’ existing incident management workflow. Enriched incidents with relevant context and ML-powered guidance and suggestions are automatically shared in team’s existing workflows, removing the need to switch between tools in times of crisis. 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.
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