Cloud Computing
Overall Rating
★
★
★
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4.0 / 5 (1 ratings)
Detailed Ratings
Workload / Time Required
★
★
★
★
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3.0 / 5
Perceived Difficulty
★
★
★
★
★
3.0 / 5
Learning Gain
★
★
★
★
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4.0 / 5
Teaching Quality
★
★
★
★
★
3.0 / 5
Assessment Fairness
★
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★
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4.0 / 5
Practical/Theoretical Balance
100% practical
Relevance / Applicability
★
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3.0 / 5
Materials & Resources
★
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3.0 / 5
Support & Responsiveness
★
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4.0 / 5
Course Organization
★
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★
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4.0 / 5
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4/5 · 2024 WS
Posted 2025-09-14
Posted 2025-09-14
Show Detailed Feedback
Difficulty: The setup of all the virtualization layers was hard and it was also confusing to use GCP in the beginning, because of all the options. But then it became easier.
Learning Gain: Like I described in the main text, I would have loved to learn more about the low level details but besides that I learned quite a bit during the assignments about practical things like GCP, cloud computing in general and how to setup a cluster.
I really liked this course because we had to work a lot with GCP and we were able to build our own small datacenter by simulating them on cloud vm's. We setup our own Kubernetes cluster, Spark cluster and did some benchmarking that showed me how fast Docker really is. Sadly the lecture did not go into much detail on how this really works on a low level. This is what I wish would happen more often because I think this is what university should be about. Instead we covered monitoring, observability, DevOps and AIOps in around 3-4 lectures. This was not that interesting, because it seems like it's all the same. I really would have loved to learn more about what Cloud Providers do behind the scenes and how KVM for example works. I saw some videos from earlier semesters and there they actually talked more about the details. I dont understand why they excluded it.