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Distributed Tasks in an Enterprise Computing Environment
Tichavský, Milan ; Rychlý, Marek (oponent) ; Burget, Radek (vedoucí práce)
In a microservices architecture, messages are commonly used for communication between individual services. There is a general need to listen to messages sent on a message bus and react to them by triggering job execution. This thesis presents all essential considerations to be made when solving this problem. It comes up with an execution framework that enables such workflow by executing tasks in arbitrary container images on OpenShift. The solution consists of a Flask API that contains the execution logic and a STOMP client written in Python that receives messages from the message bus and sends them to the API. Test scenarios are included to showcase the functionality, and the solution is evaluated by comparing it with a Jenkins setup. Also, an alternative design using Tekton pipelines is discussed. The second problem this thesis focuses on is the execution of periodically scheduled tasks and suggests using Kubernetes CronJob objects instead of implementing anything custom.

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