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.
Proactively prevent issues before they occur.
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 cloud-native.
Have a question for us? Write us.
Come aboard the K8s ship – we’re hiring!
Discover our events, webinars and other ways to connect.
Here’s what they’re saying about Komodor in the news.
Join the Komodor partner program and accelerate growth.
Platform Overview
Komodor cuts incident resolution from hours to seconds and reduces cloud costs by up to 80%, delivering peak performance and reliability across your cloud-native stack.
Komodor is the only platform that provides a contextual understanding of everything running across clusters, from workloads and native resources to critical add-ons like service meshes and autoscalers. The platform is battle-tested and purpose-built for large-scale, demanding enterprise environments.
Deployed across multiple Fortune 500 enterprises, Komodor uses Klaudia Agentic AI – 75+ specialized workflow and domain agents – to deliver continuous, accurate root cause analysis, automated remediation, and proactive reliability and cost optimization.
Operating together 24/7, Klaudia’s agents reduce MTTR, cut operational costs, and catch the misconfigurations that cause reliability issues and cloud waste before they hit production.
Technical Product Management, Smarsh
Director of DevOps, Lusha
Cloud Infrastructure Manager
Director of Platform Engineering
Principal Cloud Engineer, Priceline
Priceline
Senior DevOps Engineer
Balyasny Asset Management
Data Operations Manager, Lusha
Staff Software Engineer, Priceline
Director of Software Engineering, Digibee
DevOps
Staff Software Engineer
Cut ticket volume and resolution time with AI-driven root cause analysis and automated remediation. Continuously strengthen platform reliability and prevent future incidents.
Deep cloud-native context drives intelligent, autonomous optimization that always safeguards reliability, ensuring peak performance at up to 80% lower cost.
Automate AI/ML and GPU operations on Kubernetes with proactive detection, intelligent troubleshooting, autonomous self-healing, and cost-aware workload optimization.
Gain instant visibility into your clusters and resolve issues faster.
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