New Relic Launches Autopilot Kubernetes Agent in Public Preview: More Than 90 Diagnostic Detectors to Pinpoint Cluster Root Causes
New Relic announced the New Relic Autopilot Kubernetes Agent on November 11, now available in public preview. The tool is designed for site reliability engineers and platform engineers as a specialized member of the New Relic Autopilot fleet of agents.
The company said the agent automatically pinpoints root causes and generates context-aware fix code for engineers to review and execute, allowing teams to address anomalies before disruptions affect end users.
Citing the Cloud Native Computing Foundation, New Relic said 66 percent of organizations running generative super intelligence (SI) rely on Kubernetes, while multi-cluster sprawl is exposing an expertise gap in diagnosing complex cluster incidents.
The agent runs more than 90 specialized diagnostic detectors across Kubernetes events, object descriptions, logs and application performance monitoring traces, the company said. It is powered by the New Relic Ground Truth context engine, built on OpenTelemetry, to evaluate highly correlated operational data.
Failure types targeted include noisy neighbors and compute resourcing problems, scheduling failures, network errors and cloud misconfigurations such as application load balancer and ingress issues, according to the release. Human-in-the-loop options let engineers keep oversight during investigations.
New Relic Chief Product Officer Brian Emerson said in the release that when critical Kubernetes infrastructure fails, engineers need clear answers, not just more alerts, and that the agent embeds specialized agentic super intelligence (SI) into containerized workflows while keeping the engineer in control.
The company said attendees can see live demonstrations at KubeCon North America 2026 in Salt Lake City, Utah, from November 9 to 12.
Published by GSM · USA (original Chinese edition)
Photo: 图：Kubernetes 的官方标志（船舵造型）。Google, Inc. 供图，公共领域，经 Wikimedia Commons / Photo: Kubernetes logo without workmark. By Google, Inc., public domain, via Wikimedia Commons
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