Cloud Native Architecture and Engineering
Overall Rating
★
★
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5.0 / 5 (1 ratings)
Detailed Ratings
Workload / Time Required
★
★
★
★
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5.0 / 5
Perceived Difficulty
★
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3.0 / 5
Learning Gain
★
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5.0 / 5
Teaching Quality
★
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3.0 / 5
Assessment Fairness
★
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4.0 / 5
Practical/Theoretical Balance
75% practical
Relevance / Applicability
★
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5.0 / 5
Materials & Resources
★
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4.0 / 5
Support & Responsiveness
★
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4.0 / 5
Course Organization
★
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4.0 / 5
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5/5 · 2025 SS
Posted 2025-09-14
Posted 2025-09-14
Show Detailed Feedback
Workload: I did invest a lot of time into the project, but I guess one could also make it more simple.
Learning Gain: I did learn a lot because of the project about Kubernetes, Docker, how to design and improve micro service architectures, how to use monitoring and observability tools and in general how to use the scientific framework to improve an architecture for a specific goal. It improved my thinking.
Practical/Theoretical Balance: We had to do some research about what the scientific literature was writing about.
Relevance: I guess containerization, Kubernetes, cloud providers and micro services are one of the most SOTA topics one can learn. At least in distributed systems and web development. We also had some guest lectures from the industry like Allianz Technology or Reply.
I really liked this course, because it was mostly about the project we had to do. It was about one of the topics: Fault Tolerance, Scalability, Sustainability, Security and AI. Each group was given a micro service architecture and we had to refactor it to improve the metrics of the goal. It was very cool and we had a lot of freedom. The lecture was also interesting, however I did listen to other cloud lectures before, so the information was nothing new. I guess there is only so much to say about micro services. In the course we had to use Kubernetes to host our architecture and then we learned a lot about different tooling for monitoring etc. in the Kubernetes ecosystem.