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.
The second stage of AI SRE maturity is moving the agent off your machine and pointing it at real clusters — read-only, in shadow mode — then climbing a trust ladder toward carefully scoped action.
AI has evolved the SRE practice considerably, but like all things engineering, it's also opening the door to new challenges that came with it.
Distinct from waste, optimization blockers are structural constraints that prevent consolidation even when capacity exists to recover.
Klaudia Agentic AI unifies prior investigations, customer-approved runbooks, and architecture blueprints to operationalize institutional knowledge.
A closer look at how Klaudia Memory works under the hood and the engineering that goes into building the backbone of a true AI SRE platform.
The first stage of AI SRE maturity is a laptop, a throwaway cluster, and zero production access. Here's how to set it up, and what to watch for.
AI-native cloud company adopts Komodor to automate operational performance and reliability.
In reliability engineering, being ‘mostly right’ is a liability. An AI SRE that sometimes misses root cause or gives a confident wrong answer at 2:17 AM has no place in an enterprise cloud environment.
You’ve deployed Karpenter and tightened your resource requests, but while you saw an initial dip in your cloud bill, your savings have flatlined.
Gain instant visibility into your clusters and resolve issues faster.
May 12 · 9:00EST / 15:00 CET · Live & Online
🎯 8+ Sessions 🎙️ 10+ Speakers ⚡ 100% Free
By registering you agree to our Privacy Policy. No spam. Unsubscribe anytime.
Check your inbox for a confirmation. We'll send session links closer to May 12.
