Inhalt
[ 921CGELCCOK23 ] KV Cloud Computing
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Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
1,5 ECTS |
M2 - Master's programme 2. year |
Computer Science |
Rick Rabiser |
1 hpw |
Johannes Kepler University Linz |
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Detailed information |
Original study plan |
Master's programme Computer Science 2023W |
Objectives |
Students learn how to set up continuous integration/delivery pipelines in a state-of-the art cloud technology, to cover the journey from code to a scalable application running in the cloud.
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Subject |
This course teaches the basics and underlying principles of the cloud computing paradigm, including history, key terms, challenges and trends. This includes important underlying concepts such as microservice architectures but also specific techniques such as container technologies. In its practical part, the course covers the journey from code to a scalable application running in the cloud. Therefore, students, e.g., learn how to build applications using continuous integration pipelines. State-of-the art cloud technologies to operate applications are explained. Finally, ways to deploy applications are explored, e.g., by setting up a continuous delivery pipeline.
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Criteria for evaluation |
Students have to present results of a project to be completed as homework (60%). Also, there will be a written exam at the end of the lecture (40%). Both parts have to be completed with a positive mark.
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Methods |
Mix of presentations and practical work combined with a project as homework.
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Language |
English |
Study material |
Slides, examples, video recordings of lectures.
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Changing subject? |
No |
Further information |
Please contact the lecturers for further information.
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On-site course |
Maximum number of participants |
- |
Assignment procedure |
Direct assignment |
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