Komodor is a Kubernetes management platform that empowers everyone from Platform engineers to Developers to stop firefighting, simplify operations and proactively improve the health of their workloads and infrastructure.
Proactively detect & remediate issues in your clusters & workloads.
Automatically analyze and reconcile drift across your fleet.
Easily operate & manage K8s clusters at scale.
Reduce costs without compromising on performance.
Meet Klaudia, Your AI-powered SRE Agent
Empower developers with self-service K8s troubleshooting.
Simplify and accelerate K8s migration for everyone.
Fix things fast with AI-powered root cause analysis.
Automate and optimize AI/ML workloads on K8s
Easily manage Kubernetes Edge clusters
Smooth Operations of Large Scale K8s Fleets
Bring key K8s insights into your IDP
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.
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 […]
The Essential Survival Guide for Platform Engineers: Navigating Kubernetes Challenges with Komodor
In this blog post, I want to focus on the exciting new features that v1.33 brings and what it means for all of us.
Komodor’s new add-on support for autoscalers provides unparalleled visibility into the behavior of autoscalers in your K8s environments. This ensures they perform efficiently and avoid common pitfalls while integrating effectively within your Kubernetes systems. By offering real-time insights, automated troubleshooting and proactive optimization, Komodor enhances your understanding of autoscaler dynamics and helps prevent costly mistakes.
KubeCon is packed with cutting-edge content, especially for seasoned Kubernetes practitioners. With hundreds of sessions spanning operations, observability, platform engineering, and AI-driven automation (AIOps)
Komodor introduces Drift Management, which allows organizations to detect, analyze, and resolve drift at scale—eliminating uncertainty, reducing downtime, and strengthening governance across their clusters.
New full-cycle capabilities detect, investigate, and remediate configuration drift across Kubernetes cluster fleets; ensuring consistency, reliability and security at scale.
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.
Gain instant visibility into your clusters and resolve issues faster.
