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.
For an AI SRE to be safe and effective, it cannot rely on generic training data alone. It needs context. Klaudia solves this through a dual-layer approach to context engineering: the Organization Blueprint and the Knowledge Base Integration.
This article explores the technical realities of building Klaudia, an agentic AI solution for Cloud-Native infrastructure.
With autonomous self-healing and continuous optimization, we're flipping the script on the traditional management model. Organizations can move from firefighting to proactive resilience. The traditional reactive model can't scale with the complexity and pace of modern cloud-native infrastructure. Teams that adopt autonomous operations gain compounding advantages: more time for innovation, lower operational costs, better reliability, and SRE teams focused on building the future instead of firefighting the present.
Operations data from hundreds of customers reveals that platform teams lose 34 workdays per year resolving issues, and consistent over-provisioning escalates unnecessary cloud costs.
At Komodor, we’ve always believed Kubernetes management has to be holistic. That’s why our platform is built on four pillars: health and reliability, access governance and user management, drift detection, and cost optimization. And now, we’re taking that last pillar to a new level. Beyond showing you where your money is going, we’re helping you improve efficiency safely, automatically, and intelligently.
Discover how Komodor revolutionizes cost optimization with full-stack Kubernetes visibility, turning operational insights into actionable savings. Dive into how deep telemetry analysis and AI-driven insights empower platform teams to streamline expenses while maintaining performance integrity, ensuring every cent spent aligns with your production realities.
Port gives teams the tools to build IDPs that are usable, governed, and extensible. Komodor brings Kubernetes into that equation—not as another silo, but as a native part of the experience.
Komodor’s new add-on support for autoscalers provides unparalleled visibility into the behavior of autoscalers in your K8s environments. This ensures they perform efficiently and avoid common pitfalls while integrating effectively within your Kubernetes systems. By offering real-time insights, automated troubleshooting and proactive optimization, Komodor enhances your understanding of autoscaler dynamics and helps prevent costly mistakes.
We tested DeepSeek’s models head-to-head against industry leaders in solving real-world Kubernetes challenges.
Gain instant visibility into your clusters and resolve issues faster.
