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.
Scaling data workflows in Kubernetes requires balancing speed, cost, and reliability—mastering observability, automation, and resilience turns workflow automation into a true competitive advantage.
At KubeCon Europe, Komodor unveiled its fix for Kubernetes configuration drift—detecting deviations, surfacing a timeline of changes, and guiding admins with root-cause analysis and remediation tools.
Komodor has launched full-cycle drift management for Kubernetes, automating detection, investigation, and remediation of config drift to keep clusters consistent, secure, and resilient at scale.
Komodor has introduced automated full-cycle drift management for Kubernetes, helping teams detect, investigate, and remediate configuration drift across multi-cluster environments to boost reliability, security, and consistency.
Komodor now automates Kubernetes drift management—detecting, analyzing, and fixing misconfigurations to keep clusters consistent and reliable.
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.
Gain instant visibility into your clusters and resolve issues faster.
