Komodor enhances Kubernetes autoscaler capabilities by providing advanced visibility, real-time insights, and automated troubleshooting, addressing common challenges like misconfigurations, resource wastage, and cost inefficiencies. Autoscalers such as Cluster Autoscaler and Karpenter dynamically manage resources in Kubernetes environments, but without proper oversight, they can lead to issues like over-provisioning or underprovisioning, causing financial and operational strains. Komodor's solution offers a centralized platform that maps relationships between workloads, nodes, and scaling policies, enabling teams to proactively optimize autoscalers and prevent disruptions. By correlating autoscaler activities with workload health and providing structured remediation workflows, Komodor simplifies the troubleshooting process, improving efficiency and reducing reliance on manual log analysis. This approach not only enhances the performance and stability of Kubernetes clusters but also ensures cost-effective resource management, allowing platform engineers and SREs to fine-tune scaling policies and maintain cluster responsiveness.