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.
500+
HR Tech
12 Node | 9 Clusters
Visier is the HR platform that puts the right insights in the right hands, at the right time, throughout the business. They help organizations of all sizes unlock the power of their people data for business impact. As the global leader in people analytics, Visier has over 25,000 customers in 75 countries around the world, including enterprises like BASF, Bridgestone, Electronic Arts, McKesson, MerckKGaA, and more. To handle this data, they rely on Kubernetes clusters, which are the backbone of their data processing capabilities.
The challenge at Visier was multi-faceted. First, ensuring the reliability of their Kubernetes clusters was paramount, as any downtime or inefficiency directly impacted their ability to process data and deliver insights to clients. Second, the management and troubleshooting of these clusters were time-consuming and complex, requiring specialized knowledge that was limited to a few team members. This created bottlenecks and slowed down their operational efficiency.
Before using Komodor, let’s picture Visier’s environment where troubleshooting Kubernetes issues was like navigating a maze. It involved lengthy, complicated processes that only a few experienced individuals could handle. This meant that when a problem arose, it led to delays and increased pressure on specific team members. Additionally, their existing tools for monitoring and managing Kubernetes were not user-friendly, making it difficult for other teams to understand or contribute, leading to underutilized resources and inefficiencies.
With the introduction of Komodor, Visier’s Kubernetes management transformed significantly. Komodor acted like a powerful, intuitive GPS in the previously mentioned maze, guiding even less experienced developers through the complexities of Kubernetes.
It provided clear, user-friendly interfaces and workflows that made monitoring and troubleshooting much faster and more efficient.
This democratization of access meant that more team members could contribute to managing the clusters, easing the burden on the SRE team and fostering a more collaborative environment.
The enhanced visibility and analytics provided by Komodor also allowed the Visier team to optimize resource use and cut costs significantly.
Troubleshooting times were slashed, and the overall management of Kubernetes clusters became a smoother, more streamlined process, directly benefiting their core business of data processing and analytics.
Gain instant visibility into your clusters and resolve issues faster.