Several instructors give lectures, and to be honest, some make things very easy to understand while others only make sense halfway. I think that's because their teaching styles are different. So, my solution is to take the lecture materials from the instructors I don't understand, update them using an LLM, and input the parts I didn't grasp as prompts. Asking it to explain with visualizations seems to be very helpful.

I can run a production server at home. I'll try installing and testing more open-source projects on k8s easily!

I liked that you explained a structure where I don't have to worry about costs every time I add a service. It was very realistic content from the perspective of someone doing a personal project.

I'm also running a personal project on AWS, and keeping the cost at $0 is really not easy. I could totally relate to this lecture since it covers such practical strategies 👍

The design approach, which considers large-scale traffic processing and scalability, was specific enough to be applied directly in practice. I feel proud that I have now gained a perspective to overlook the entire system, going beyond simple implementation. I highly recommend this to anyone who wants to leap forward as a true senior engineer beyond just getting a promotion!

It's better to register for the course only if you own a MacBook.

I learned a lot thanks to you. Thank you!

It was a great help in getting a feel for it since I have no experience with large-scale systems!

Thank you for providing such a great lecture. I look forward to more lectures on AWS, K8S, and EKS in the future.

The lecture content itself was interesting and enjoyable, and it's something you can consider when working on actual projects.