2026年10月
Komodor introduces 'context engineering' as a discipline for managing what information AI agents receive in operations, emphasizing shared memory, on-demand ret

Komodor unveiled its Agentic Operations Platform, allowing enterprises to build, run, govern, and optimize their own AI agents for SRE and operations tasks like

2026年9月
Komodor published a technical guide on building self-improving AI agents using a teacher-student model for continuous learning. The post outlines a four-role sy

Komodor unveiled its Agentic Operations Platform, a new product enabling autonomous or human-gated incident remediation through customizable AI agents. The plat
Komodor introduced the Agentic Operations Platform, enabling teams to deploy autonomous workflows for AI SRE, software operations, and cost optimization. The pl

Nelnet Business Services (NBS) adopted Komodor to unify operations across 11 multi-cloud Kubernetes clusters, reducing support tickets by 75% and increasing pla

Priceline adopted Komodor’s Kubernetes troubleshooting platform to address operational delays caused by increased complexity in its Kubernetes environment. Komo

Komodor's AI SRE solution helped Forter reduce cloud-native MTTR by 65%, cut costs by 35%, and save over 60 engineering hours monthly. The case study highlights

OpenTable adopted Komodor to replace lost real-time deployment visibility after migrating from Singularity/Mesos to Kubernetes. Komodor enabled self-service tro

A Digibee case study shows Komodor reduced MTTR by 63%, escalations by 56%, and increased velocity by 24% while enabling developers to troubleshoot Kubernetes i

Sophos used Komodor’s platform to reduce Kubernetes MTTR by 67% and increase development velocity by 47% during a greenfield Kubernetes-native product launch. T

ControlUp reduced Kubernetes MTTR by 74%, increased development velocity by 46%, and cut DevOps escalations by 81% after adopting Komodor, enabling non-experts

Komodor introduced automated Kubernetes drift management to detect configuration inconsistencies across multi-cluster environments in real time. The feature com

Komodor introduced add-on support for workflow automation engines like Kubeflow, Airflow, and Apache Spark, enabling data teams to monitor, troubleshoot, and re

Komodor expanded its Kubernetes cluster health management platform to include proactive monitoring and troubleshooting for cert-manager and External-DNS add-ons

Komodor introduced Cluster Health Management, a feature that provides holistic Kubernetes cluster monitoring with health scores, real-time issue detection, and

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