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 vs. Rancher
What’s the difference between Komodor and Rancher? While Rancher focuses on multi-cluster management and governance, Komodor simplifies day-2 operations with features like enhanced visualization, troubleshooting, and cost optimization.
Get clear visualizations and insights that directly boost your team’s efficiency and improve application reliability.
Teams that value great developer experience and fast troubleshooting rely on Komodor to stay efficient and in control.
Empower multiple dev teams, with large-scale deployments to flatten the Kubernetes learning curve and achieve faster time to value.
Most cluster management tools focus on infra management. Komodor goes beyond that by giving you deep troubleshooting capabilities and operational insights for container orchestration. It will complement your existing tool.
Komodor’s timeline view shows what changed, when, and why it matters. This delivers instant clarity. Engineers can quickly pinpoint the root cause of incidents by correlating deployments, config updates, and infra events in one coherent history.
Rancher offers standard monitoring without timeline correlation. It provides reliable metrics and alerts for cluster health, but it doesn’t automatically connect those signals into a cause-and-effect story across your environment
Rancher offers basic monitoring and alerting for infrastructure reliability. It ensures admins can track cluster health and be notified of problems. Deeper root cause analysis typically requires pairing it with additional tools.
Komodor was built to make adoption and use easy for all stakeholders. This means developers don’t have to wait on ops teams for every issue. They can quickly investigate failures, trace changes, and resolve common problems on their own. The result is fewer bottlenecks and better productivity.
Rancher shows resource usage, but Komodor goes further. It automatically right-sizes workloads, optimizes pod placement, and finds real-time savings opportunities that directly cut costs without risking performance. You’ll also save money when on-call teams spend less time solving issues. Teams that use Rancher need to integrate with external tools or third-party FinOps platforms.
Komodor was built to make adoption and use easy, so they don’t have to wait for the platform team to weigh in on every issue. Komodor’s application-specific approach and incident timeline help developers quickly investigate failures, trace changes, and resolve problems on their own. Rancher is geared for infra admins, not the dev teams.
Komodor surfaces the deployment event, correlates it with failing pods, and suggests rollback options instantly — saving hours of investigation.
No. Komodor doesn’t provision clusters or handle lifecycle tasks like upgrades. Komodor complements infrastructure tools by focusing on what happens after cluster deployment. You can use solutions like OpenShift, Tanzu, or cloud-native services such as EKS, or even free open source tools. Komodor’s role is to take over once your clusters are up, keeping applications healthy with fast incident response, root cause analysis, and cost optimization.
Yes. Komodor’s automation and real-time intelligence scale seamlessly as clusters and workloads grow, keeping operations efficient.
Komodor helps cut MTTR, reduce infrastructure spend, and empower developers — driving better uptime, lower costs, and faster delivery.
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.