This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Rakuten Symphony, Inc., Technical University of Munich. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Innovations of Johannes Peter Donato Zerwas
Introduction
Johannes Peter Donato Zerwas is a notable inventor based in Munich, Germany. He has made significant contributions to the field of technology, particularly in the area of workload management in Kubernetes environments. His innovative approach has led to the development of a unique patent that enhances the efficiency of cloud computing systems.
Latest Patents
Zerwas holds a patent titled "Automated Kubernetes adaptation through a digital twin." This patent describes a method of workload management in a Kubernetes (K8s) environment. The method involves obtaining performance data of at least one K8s cluster through a digital twin (DT) representing the cluster state. The DT generates a behavioral model based on the performance data, which is then used by a horizontal pod autoscaler (HPA) controller to determine an HPA configuration. Finally, the HPA implements the determined configuration in the K8s cluster.
Career Highlights
Throughout his career, Zerwas has worked with prominent organizations, including Rakuten Symphony, Inc. and the Technical University of Munich. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.
Collaborations
Zerwas has collaborated with several talented individuals, including Patrick Michael Krämer and Wolfgang Leonhard Kellerer. These partnerships have fostered innovation and have been instrumental in the development of his patent.
Conclusion
Johannes Peter Donato Zerwas is a distinguished inventor whose work in Kubernetes adaptation has made a significant impact on technology. His innovative solutions continue to shape the future of workload management in cloud computing environments.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile