Nebius (NASDAQ: NBIS) has selected Komodor's AI-based site reliability engineering platform to support Kubernetes troubleshooting across its cloud infrastructure, according to a statement from Komodor.

Nebius, which operates a cloud platform targeting the AI lifecycle from data and model training to production deployment, said it needed a solution to automate reliability and performance management across its environment.

Komodor's platform provides visibility across cloud-native infrastructure by correlating topology, configuration changes, telemetry, autoscaling behavior, and custom resource definitions. The company says its Klaudia Agentic AI tool autonomously investigates production incidents and delivers root cause analysis across Kubernetes cluster fleets.

"Nebius operates AI cloud infrastructure at scale. Uptime and performance are mission-critical, and require fast, well-grounded incident investigation across complex Kubernetes environments," said Danila Shtan, CTO at Nebius. "Komodor helps our teams correlate the signals that matter and shorten the path from symptom to root cause, while fitting into our existing SRE workflows."

Itiel Shwartz, co-founder and CTO of Komodor, said the platform is designed to reduce mean time to resolution in distributed environments, adding that manual reliability management becomes difficult as AI workloads increase operational complexity.

Komodor, headquartered in Tel Aviv and San Francisco, has raised $90 million in venture funding. The company did not disclose financial terms of the Nebius agreement.