Sankal, TalibTalibSankalMohanram, PraveenPraveenMohanramKönig, NielsNielsKönigSchmitt, Robert H.Robert H.Schmitt2025-09-162025-09-162025-07-30https://publica.fraunhofer.de/handle/publica/49591810.1109/ICPS65515.2025.11087859Today's manufacturing environments are challenged by the adoption of upcoming data-driven technologies, such as artificial intelligen0ce or digital twins. The bottleneck for digital transformation are mostly traditionally grew industrial hardware and software systems. The current pace of changes in technologies, requires a strong adaptive architecture backbone to address rapidly changing tools for manufacturing. This paper proposes a cloud native architecture for manufacturing, using Kubernetes as orchestration platform for industrial applications. Since strict requirements need to be met for control and monitoring, the proposed approach includes a layer model for multi-cluster deployments able to fulfill divers requirements. A holistic multicluster controller is presented, which distributes applications on the respective layers, based on their needs.enSoftware-defined automationCloud native manufacturingIndustrial kubernetesOrchestration600 Technik, Medizin, angewandte Wissenschaften::620 Ingenieurwissenschaftenconference paper