Towards Improved Usability in Container Orchestration for Industry 5.0

Brief Description: The transition towards Industry 5.0 and smart factories relies heavily on distributed computing infrastructures to support cyber-physical systems, digital twins, AI-driven analytics, and IoT-based automation. In particular, Kubernetes-driven containerized microservices are becoming integral to these advanced manufacturing systems. Despite Kubernetes advanced features, it presents steep usability hurdles for developers, even during common tasks such as workload specification and deployment. These challenges arise from fragmented workflows, a lack of usability-oriented design, and a reliance on low-level configuration languages such as YAML. To address these challenges, we require a web-based orchestration system that must streamline the management of containerized workloads by offering guided workflows and integrated instant performance monitoring in a simplified interface. The thesis work will add features to an existing prototyped system for supporting the full deployment lifecycle while reducing dependency on command-line expertise and exposing the internals of distributed clusters to developers.

Expected Outcomes:

• Added working features to the existing prototyped system.
• Written thesis at an equivalent level of a conference paper (in case of masters student only)