Komodor is an autonomous AI SRE platform for Kubernetes. Powered by Klaudia, it’s an agentic AI solution for visualizing, troubleshooting and optimizing cloud-native infrastructure, allowing enterprises to operate Kubernetes at scale.
Proactively detect & remediate issues in your clusters & workloads.
Easily operate & manage K8s clusters at scale.
Reduce costs without compromising on performance.
Guides, blogs, webinars & tools to help you troubleshoot and scale Kubernetes.
Tips, trends, and lessons from the field.
Practical guides for real-world K8s ops.
How it works, how to run it, and how not to break it.
Short, clear articles on Kubernetes concepts, best practices, and troubleshooting.
Infra stories from teams like yours, brief, honest, and right to the point.
Product-focused clips showing Komodor in action, from drift detection to add‑on support.
Live demos, real use cases, and expert Q&A, all up-to-date.
The missing UI for Helm – a simplified way of working with Helm.
Visualize Crossplane resources and speed up troubleshooting.
Validate, clean & secure your K8s YAMLs.
Navigate the community-driven K8s ecosystem map.
Who we are, and our promise for the future of K8s.
Have a question for us? Write us.
Come aboard the K8s ship – we’re hiring!
Here’s what they’re saying about Komodor in the news.
Komodor adds automated drift detection and remediation to keep Kubernetes clusters consistent and reliable.
Komodor has added automated detection and remediation of Kubernetes configuration drift, helping teams restore baseline states, prevent outages, and simplify fleet management at scale.
Kubernetes at scale faces common reliability issues like misconfigured resources, storage, network policies, secrets, and outdated versions; following best practices in monitoring, GitOps, autoscaling, and security is key to stable operations.
As Kubernetes scales, fragmented core services like networking, logging, and monitoring cause chaos. Komodor’s Itiel Shwartz explains how automation, standardization, and fleet management strategies can ensure consistency, security, and reliability across clusters.
Komodor is tackling the complexity of Kubernetes operations by automating health, performance, and cost management. With features like drift detection, AI-driven root cause analysis, and real-time visibility, it helps teams overcome day-two challenges, reduce inefficiencies, and prevent costly outages.
A phased roadmap helps organizations migrate from legacy systems to Kubernetes smoothly, minimizing risks, reducing costs, and boosting scalability.
Komodor’s Itiel Shwartz and Udi Hofesh discuss how their platform uses AI and open source tools to simplify Kubernetes management and troubleshooting at scale.
Traditional observability falls short for Kubernetes; modern solutions must go beyond metrics and logs with automated, holistic management that proactively detects, correlates, and remediates issues across the full Kubernetes stack.
Gain instant visibility into your clusters and resolve issues faster.
