New Relic has unveiled New Relic Autopilot Kubernetes Agent, a specialised AI agent built for site reliability engineers and platform engineers working in complex Kubernetes environments.
The new agent is a domain-specific extension of New Relic Autopilot, the company’s fleet of SRE agents that investigate incidents and speed up response workflows.
Designed for Kubernetes environments where detecting and resolving incidents has traditionally been difficult, the agent automatically identifies root causes and generates context-aware fix code that engineers can review and execute. This allows teams to address anomalies proactively, troubleshoot faster and resolve disruptions before they affect end users.
The launch comes as Kubernetes becomes central to enterprise AI adoption. According to the Cloud Native Computing Foundation, 66% of organisations running generative AI rely on Kubernetes, but the resulting multi-cluster sprawl is exposing a critical expertise gap. Kubernetes environments are more complex than traditional architectures and structurally different, shifting operations from managing fixed machines to managing a dynamic, self-healing distributed system.
Diagnosing issues across large container setups has always required deep Kubernetes expertise that few teams possess. During outages, engineers often lose hours piecing together fragmented dashboards or working through speculative advice from generic large language models that lack operational context.
While the broader New Relic Autopilot ecosystem handles full-stack observability queries, the Kubernetes Agent focuses specifically on containerised environments. It runs more than 90 specialised diagnostic detectors across Kubernetes events, object descriptions, logs and APM traces to isolate root causes and deliver ready-to-run remediation code. The agent is powered by the New Relic Ground Truth context engine, which evaluates deep, highly correlated operational data built on OpenTelemetry, allowing it to identify exact root causes instead of offering generic suggestions.
Brian Emerson, Chief Product Officer, New Relic said, “When critical Kubernetes infrastructure fails, engineers need clear answers, not just more alerts. The New Relic Autopilot Kubernetes Agent embeds specialized, agentic AI directly into the engineer’s containerized workflows to eliminate the guesswork from complex cluster incidents while keeping the engineer safely in control. Because it works natively across any telemetry source, it provides a level of full-stack observability that specialized or closed-system tools cannot match.”
The agent is engineered to isolate root causes behind some of the most common and complex infrastructure failures, including noisy neighbours and compute resourcing issues, scheduling failures, network errors and cloud misconfigurations such as Application Load Balancer or ingress problems. It is also built to work directly within standard SRE and platform engineering workflows, with flexible human-in-the-loop options that let engineers maintain oversight and control throughout incident investigations.
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