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.
Although IaC (and CaC) bring immense value, they can also lead to a major problem: configuration drift. In this article, we will take a closer look at this issue and explore different methods of keeping systems in their intended state.
This article will present the steps involved in running AI workloads on Kubernetes. We will explore the different steps, from data preparation to serving AI models, and see how several tools can help as well as discuss their drawbacks.
With the recent rise of AI and the advent of tools like Kubeflow and Argo Workflows, Kubernetes is also becoming a first-class citizen when it comes to running AI workloads.
We tested DeepSeek’s models head-to-head against industry leaders in solving real-world Kubernetes challenges.
Company posts 200% increase in revenue and 400% jump in Fortune 500 customers TEL AVIV and SAN FRANCISCO, Feb. 5, 2025 — Komodor, the company that automates Kubernetes operations, health, performance and cost management, today announced that over the past twelve months ended January 31, it increased annual recurring revenue (ARR) by 200% and grew […]
With Komodor, we’ve reimagined how Kubernetes operators handle cert-manager and ExternalDNS. Our platform provides deep visibility, intelligent analysis, and actionable insights, turning hours of troubleshooting into minutes.
Managing DNS records in Kubernetes at scale is complex, especially as clusters grow and the number of applications increases. Enter ExternalDNS—a tool designed to automate DNS record synchronization with Kubernetes resources, providing the agility and scalability needed for modern application environments. When paired with cert-manager––which we recently wrote about in detail, ExternalDNS delivers seamless integration […]
Enter cert-manager—a powerful tool that simplifies certificate management in Kubernetes environments, including multi-cluster setups.
Explore the unique challenges data engineers face when using Kubernetes for AI and share best practices for optimizing AI/ML workflows on Kubernetes.
Gain instant visibility into your clusters and resolve issues faster.