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.
This year’s KubeCon underscored a real shift: AI SRE has gone mainstream. The question isn’t whether AI SRE helps. It’s which one you can trust in production.
Enhanced platform automates detection, investigation, resolution of issues, and cost optimization, using purpose-built agentic AI TEL AVIV and SAN FRANCISCO – Nov. 5, 2025 – Komodor, the autonomous AI SRE company for cloud-native infrastructure, today announced the release of autonomous self-healing and cost optimization capabilities that simplify operations for SRE, DevOps, and Platform teams managing […]
Platform recognized for AI-driven automation that prevents outages, accelerates troubleshooting, improves performance and reliability, while optimizing costs TEL AVIV and SAN FRANCISCO, Aug. 26, 2025 – Komodor, the platform for automating Kubernetes operations, health, performance, and cost management, today announced it has been named winner of the 2025 SiliconANGLE TechForward Award for Kubernetes Management. SiliconANGLE […]
Kelly Freeman Joins as Regional VP Sales US and Ricardo Lupo Joins as Global Head of Sales Engineering TEL AVIV and SAN FRANCISCO, July 9, 2025 – Komodor, the platform for automating Kubernetes operations, health, performance, and cost management, today announced the expansion of its U.S. sales and technical leadership to support surging demand for […]
Komodor introduces intelligent Kubernetes cost optimization, combining automation, right-sizing, and performance without compromising reliability.
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.
Integrations with Backstage and Port empower developers to troubleshoot and optimize K8s workloads within existing workflows TEL AVIV and SAN FRANCISCO – May 21, 2025 – Komodor, the company that automates Kubernetes operations, health, performance, and cost management, today announced the integration of the Komodor platform with Internal Developer Portals (IDPs), starting with built-in support […]
New full-cycle capabilities detect, investigate, and remediate configuration drift across Kubernetes cluster fleets; ensuring consistency, reliability and security at scale.
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 […]
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