The current focus of the UNIVERZA V LJUBLJANI for the given period of time is to provide sufficient and optimal work of the workload manager. This component manages workload actions for Smart AIOps entities, coordinating tasks like creating, deleting, moving, and swapping pods through a parallel and asynchronous API-driven approach. It ensures fault tolerance with multiple replicas, a persistent message queue, and minimal custom logic by leveraging existing Kubernetes components while supporting advanced scheduling through custom plugins and action mapping. With this component being the one of the most important for the whole project it is now being in the process of integration with ML component. In addition to that, the Metric collection service is now fully integrated.
UNIVERSITY OF LJUBLJANA

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