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After this class, let's exchange good resources to go further
I guess many other students who enjoyed this class are likely to look for other resources to learn more and move forward, and built their next production-read clusters.
I'd like to start some resources exchanges here, starting with what I read that I found useful to go further. And I encourage anyone to share their own findings. At the end, we should be able to collectively build a nice digest of articles, books and videos that are good at this state of knowledge (ie, basics acquired, but advanced concepts, edge-cases and other details yet to learn)
So let me start with a few ones I found particularly relevant (I'm not affiliated with any of these)
Their cheat-sheet are really nice to get an instant reminder of the various models (physical layout, abstractions with different levels of details)
They also have link to some nice articles and how-to's
Kubernetes in Action (Manning's publishing)
I really enjoy this book (although it's not yet complete), and I find it a great companion to this course. The hands-on approach and videos from LFS258 are really great. Then this book adds some little details here and there and helped me catch-up a few point I overlooked, get additional items (like git repos as volumes, using env vars as commands). If (or when) I have to recommend to a colleague some resources to ramp-up on k8s, I'll definitely point him to both LFS258 and this book
Like with many technologies, some nicely curated list has been set up in an 'awesome' repo. I hadn't yet the time to read all the items, but several I read were really worth the time.
There's also an O'Reilly book: Kubernetes Up and Running, but I don't have it (yet?) and I'd love to get some feedback from other students who would have read it. Is it worth it? Where does it fit after this class?
Please share your own findings