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.
Platform Overview
Komodor cuts troubleshooting from hours to seconds and reduces cloud costs by up to 70%, delivering peak performance and reliability across cloud native infrastructure.
Komodor delivers a single pane of glass for multi-cluster, multi-cloud, and hybrid cloud native environments. It automatically correlates issues and dependencies to unify visibility and reveal critical patterns across clusters and workloads. Built-in event timelines, historical data, change intelligence, and reliability dashboards create a cohesive, guided Kubernetes experience, while curated workspaces keep every team aligned on the insights that matter most.
Komodor automatically detects, investigates, troubleshoots, and fixes issues before they reach production. With over 95% accuracy, the platform dramatically improves reliability, enforces best practices, and resolves problems with or without human input. It overcomes the complexity of modern infrastructure, including third-party interdependencies – delivering deep, multi-layered troubleshooting across cascading failures, configuration drift, overprovisioning and more.
Komodor autonomously right-sizes workloads, intelligently places pods, and continuously balances cost and performance. Automated cost tracking and trend analysis deliver real-time visibility into cluster spend. Smart Headroom ensures rapid, on-demand scaling without overprovisioning. PodMotion – live migration for stateful pods – moves workloads seamlessly without downtime. Together, these capabilities and more, cut Kubernetes compute costs by up to 70% without impacting reliability.
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 – its field-proven, enterprise-grade technology – to power continuous, highly accurate root cause analysis and automated remediation.
Hundreds of specialized Klaudia workflow and SME agents work together to reduce MTTR by 63%, optimize resource allocation, and cut operational costs by 42%.
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.
Automated right-sizing, intelligent bin-packing, and smart headroom lower cloud spend while ensuring every application has the resources it needs.
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.
