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.
Six proven Day-2 strategies help platform teams scale Kubernetes with proactive operations, automation, and resilience.
Komodor extends its Klaudia AI agent to autonomously heal Kubernetes issues and optimize infrastructure costs.
Komodor introduces autonomous self-healing and cost optimization for reliable, efficient Kubernetes operations at scale.
Despite widespread Kubernetes adoption, enterprises face persistent instability, inefficiency, fragmented observability, and critical skills gaps.
InfoWorld reveals 2025 Technology of the Year finalists, spotlighting groundbreaking AI, cloud, DevOps, and data innovations.
Kubernetes v1.34 boosts flexibility and resilience, but introduces new operational risks, observability gaps, and hidden complexity.
Application failures rarely occur suddenly—early warning signals in metrics, logs and behavior reveal issues long before outages.
A new report reveals chronic Kubernetes mismanagement, with overspending, troubleshooting overload and change-driven incidents dominating.
Gain instant visibility into your clusters and resolve issues faster.
