gautamsomani

Hello all.

Am an SRE who has been tasked to make my Org's (2k+ devs) CICD Infra more robust, updated, further scaled and automated. And most importantly, though it may not be in the purview of SRE, help also Devs improve their productivity - and this is the part where I need your help.

I have basic idea of GitOps/CICD, and am looking to learn lot more. In my org we use Jenkins/GitLab/GitHub (don't ask why all 3, and I am trying to phase out Jenkins). I am watching videos on Youtube, but its difficult to get great ideas or deep insight from most of them. Most are repetitive.

I came across the following articles: 1. https://lepape.me/stop-using-gitops-to-sell-your-products/ 2. https://abseil.io/resources/swe-book/html/ch18.html

These gave me some good insights into release-engineering and methodologies practiced in different ways. I am looking for similar articles, or may be anything good that can help me learn more and improve my basics as well as my horizon in this matter. Since I want to help Devs, who work on code related to backend/frontend/mobile, I think I will have to learn a lot.

Can you please throw any good article that you may have bookmarked in this matter and might help me? Release engineering, good branching strategies, possible automation, things to learn (gradle/maven). Anything which you think might be related to these.

Thanks in Advance.

I am 38, a Linux Admin and SRE. Have a nice job which allows me to keep learning new things. And in my job, over the past few months have been using AI to help me Code (write and parse) and learn complicated topics by making AI explain stuff in a very simplified manner.

I understand using to Code is one application and I am doing that. I also use AI in my linux-administration tasks. But like in Machine-Learning people learn math and python-coding, what should I learn for AI to always try to be ahead of the curve.

I know that I should learn how to make good prompts, which will be a never ending thing, but am Okay with that cause I myself like simplifying things. Should I learn lot of deep Math to go deep into LLMs? I am totally lost here. Should I be, and I donno whether I will be able to, read some particular AI-related code base, like for example, LangChain libraries?

Please help me out here.

I am someone who is suffering from sleep problems since many years. And I want to know more on this topic. I read, at few places online including HN, that the book "Why We Sleep" is not completely accurate. Can someone recommend an ever more accurate book? Or "Why We Sleep" is the most accurate, albeit flawed, book out there?

I am also open to any series of articles/podcast or any scientific author to follow over a long time to learn about human sleep. I understand that not everything may apply to me, but still, learning is a good thing.