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
Explore our K8s guides, e-books and webinars.
Learn about K8s trends & best practices from our experts.
Listen to K8s adoption stories from seasoned industry veterans.
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.
Your single source of truth for everything regarding Komodor’s Platform.
Keep up with all the latest feature releases and product updates.
Leverage Komodor’s public APIs in your internal development workflows.
Get answers to any Komodor-related questions, report bugs, and submit feature requests.
Kubernetes 101: A comprehensive guide
Expert tips for debugging Kubernetes
Tools and best practices
Kubernetes monitoring best practices
Understand Kubernetes & Container exit codes in simple terms
Exploring the building blocks of Kubernetes
Cost factors, challenges and solutions
Kubectl commands at your fingertips
Understanding K8s versions & getting the latest version
Rancher overview, tutorial and alternatives
Kubernetes management tools: Lens vs alternatives
Troubleshooting and fixing 5xx server errors
Solving common Git errors and issues
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!
Hear’s what they’re saying about Komodor in the news.
One of the most visible ways organizations bring platform engineering to life is through Internal Developer Platforms (IDPs). But at the same time, not every developer portal qualifies as a true platform.
Port gives teams the tools to build IDPs that are usable, governed, and extensible. Komodor brings Kubernetes into that equation—not as another silo, but as a native part of the experience.
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.
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.
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.
With the recent rise of AI and the advent of tools like Kubeflow and Argo Workflows, Kubernetes is also becoming a first-class citizen when it comes to running AI workloads.
Gain instant visibility into your clusters and resolve issues faster.
