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.
Easily operate & manage K8s clusters at scale.
Reduce costs without compromising on performance.
Empower developers with self-service K8s troubleshooting.
Simplify and accelerate K8s migration for everyone.
Fix things fast with AI-powered root cause analysis.
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.
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Hear’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.
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