Like many engineers I’ve spoken to, I prefer learning by doing — whether that’s tackling projects or completing cloud labs on platforms like Google Cloud Skills Boost, AWS Skill Builder, Microsoft Learn or A Cloud Guru. I’ve even seen AWS-themed escape room-style labs that add a bit of fun to the learning process.
These labs usually come with training materials — text explanations, video walkthroughs, slide decks, or a mix of all three. When prepping for certifications, I typically make shorthand notes in OneNote, review them a few times, then say them out loud before attempting a practice exam.
Like many engineers these days, I’ve started using GenAI tools like ChatGPT to help with technical tasks. But a recent experiment where I relied entirely on ChatGPT to debug an issue made me pause and reflect on what we might be giving up in the problem-solving process.
A few months ago, I was writing some Terraform code and ran into an error. So, I decided to run a quick experiment: what happens if I rely solely on ChatGPT to help diagnose and resolve the problem with minimal human input?
I’ve set up this blog to share my knowledge and learnings from my career journey in the the SRE and cloud engineering space.
You can expect posts about Cloud Engineering, SRE, Linux and of course the most exciting topic at the moment AI!
I’m looking forward to posting regularly, so keep an eye on this space for more content. I’ll also share each new post on LinkedIn so feel free to give me a follow on there too if you wish - https://www.linkedin.com/in/nathan-leeman/