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!
Discover our events, webinars and other ways to connect.
Here’s what they’re saying about Komodor in the news.
Join the Komodor partner program and accelerate growth.
Komodor AI SRE vs. Open Source AI SRE
While open source tools offer helpful CLI-based insights for individual developers, Komodor is the only enterprise-grade AI SRE platform that delivers autonomous remediation, cost optimization, and multi-cluster visualization at scale.
OSS tools like K8sGPT or HolmesGPT are “ok” at identifying simple problems, but is “ok” good enough for production? Komodor delivers best-in-class troubleshooting accuracy of over 95%, purpose-built to handle complex failures in real-world enterprise environments.
Open Source solutions are fragmented point tools for specific tasks like YAML generation or log analysis. Komodor unifies visualization, troubleshooting, proactive detection, and cost optimization into a single comprehensive platform.
OSS tools typically require “admin” CLI access, creating large security risks. Komodor provides a centralized platform with robust RBAC and audit logs, ensuring all AI-driven actions are safe, compliant, and visible to the whole team.
While OSS tools are useful for local development, they are often generic LLM wrappers that struggle with “hallucinations” and lack the deep architectural context of a production cluster. “Ok” accuracy in a sandbox is fine, but in production, it leads to lack of faith, frustration, and wrong fixes. Komodor provides a 95% accuracy guarantee because it combines 5 years of Kubernetes-specific expertise with a multi-agentic architecture that cross-references metrics, logs, and events before suggesting a solution.
Open-source scanners (like K8sGPT) are typically “pull-based”, you have to trigger them when you suspect a problem. Komodor is “push-based”; our AI SRE, Klaudia, is always on, watching for “silent” failures, configuration drift, and resource bottlenecks. It alerts you to the root cause before a human even notices the symptom.
OSS tools often require you to send cluster data directly to public LLM APIs from your CLI without audit trails. Komodor is built for the enterprise, running in a secure environment with strict data segmentation, no training on customer data, and full auditability of every action the AI takes.
Tools like kubectl-ai can generate the YAML for a fix, but they cannot apply it safely, verify the result, or understand the cascading impact of that change on the rest of the cluster. Komodor manages the entire lifecycle of a fix, including safety checks and post-remediation validation.
While the “license” for OSS is free, the cost of building the integrations, maintaining security, user management, and the manual toil required to act on their suggestions is high. Komodor provides immediate ROI by automating the troubleshooting and remediation tasks that usually consume 50% of an SRE’s week, while simultaneously cutting cloud costs by over 40%.
See why Dev & Platform teams love Komodor on G2
Mid-Market
Komodor is the only platform that provides a contextual understanding of everything running in your clusters; from workloads and native resources to critical add-ons like service meshes and autoscalers. Battle-tested and purpose-built for demanding large scale enterprise environments.
Powered by Klaudia Agentic AI, Komodor rapidly resolves the most challenging cloud native headaches – from failed containers and cascading errors to faulty add-ons, CRDs, and workload breakdowns. Klaudia’s hundreds of specialized agents, trained on thousands of production environments, have been field-proven to deliver 95% accuracy across real-world incidents.
Gain instant visibility into your clusters and resolve issues faster.
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