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.
Komodor is tackling the complexity of Kubernetes operations by automating health, performance, and cost management. With features like drift detection, AI-driven root cause analysis, and real-time visibility, it helps teams overcome day-two challenges, reduce inefficiencies, and prevent costly outages.
A phased roadmap helps organizations migrate from legacy systems to Kubernetes smoothly, minimizing risks, reducing costs, and boosting scalability.
Komodor’s Itiel Shwartz and Udi Hofesh discuss how their platform uses AI and open source tools to simplify Kubernetes management and troubleshooting at scale.
Traditional observability falls short for Kubernetes; modern solutions must go beyond metrics and logs with automated, holistic management that proactively detects, correlates, and remediates issues across the full Kubernetes stack.
Kubernetes boosts scalability but burdens developers with complexity and vague alerts. Ben Ofiri highlights automation and guided troubleshooting as the key to making Kubernetes developer-friendly and innovation-driven.
Generative AI tools like Komodor’s KlaudiaAI and CNCF’s K8sGPT use Kubernetes-specific training to cut complexity, detect root causes, and automate fixes—making clusters more reliable than with generic AI models.
In 2025, DevOps will become smarter and more proactive with AI-driven automation, financial accountability shifting to engineering teams, and platform engineering emerging as the backbone of developer experience. Predictions highlight consolidation of DevOps tools, the rise of developer portals, and cross-functional engineering groups replacing siloed DevOps teams.
Kubernetes Day 2 means constant monitoring and fixes. Prevent drift, optimize resources, and empower devs to keep clusters stable and efficient.
Gain instant visibility into your clusters and resolve issues faster.
