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.
Part 2 of the AI SRE in Practice Series. In this post we discuss: Resolving GPU Hardware Failures in Seconds
This series demonstrates what AI SRE trained on real workloads actually looks like in practice. We're going to walk through real troubleshooting scenarios that our customers encounter daily, showing the before and after of AI-powered investigations.
SRE teams are about to feel even more pressure. GPU-heavy computing is breaking the assumptions today's clusters were built on, while enterprises are beginning to trust autonomous operations and cost pressure is pushing consolidation across the cloud-infrastructure stack. Based on these forces, here are my 2026 Kubernetes predictions as well as some best practice recommendations to help platform teams prepare for what reliable operations will mean next year.
There's a bigger story here that every platform team needs to understand: K8s is finally acknowledging that cluster utilization is fundamentally broken.
The teams that learn to build and coordinate AI agent capabilities alongside human expertise will be the ones that thrive in the increasingly complex world of Cloud-Native infrastructure and recover faster when AI-driven incidents become more common.
KubeCon 2025 confirms AI on Kubernetes is a production reality. This post explores the platform challenges, from managing large LLMs and GPU resources to empowering new personas like data scientists, and the shift toward self-service and intelligent, automated operations.
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.
Kubernetes v1.34, codenamed “Of Wind & Will (O' WaW)”, brings a wide range of enhancements aimed at making clusters more efficient, secure, and easier to manage.
Gain instant visibility into your clusters and resolve issues faster.
