Cloud Computing

Overall Rating

4.0 / 5 (1 ratings)

Detailed Ratings

Workload / Time Required

3.0 / 5

Perceived Difficulty

3.0 / 5

Learning Gain

4.0 / 5

Teaching Quality

3.0 / 5

Assessment Fairness

4.0 / 5

Practical/Theoretical Balance

100% practical

Relevance / Applicability

3.0 / 5

Materials & Resources

3.0 / 5

Support & Responsiveness

4.0 / 5

Course Organization

4.0 / 5

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4/5 · 2024 WS
Posted 2025-09-14
Overall Comment:

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.

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