Kubernetetes is crazy complex when comparing to docker-compose. It is built to solve scaling problems us self-hosters don’t have.

First learn a few docker commands, set some environment variables, mount some volumes, publish a port. Then learn docker-compose.

Tutorials are plenty, if those from docker.com still exist they’re likely still sufficient.

Emacs: “What if your Operating System and your text editor had a child.”

Agree.

I found it more tempting to accept the initial answers I got from GPT4 (and derivatives) because they are so well written. I know there are more like me.

With the advent of working LLMs, reference manuals should gain importance too. I check them more often than before because LLMs have forced me to. Could be very positive.

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Perplexity.ai has been my go to for this reason.

It often brings up bad solutions to a problem and checking the sources it references shows it regulary misses the gist of these sources.

There sources it selects are often not the ones I end up using. They are starting point, but not the best starting point.

What it is good for is for finding content when I don’t know the terminology of the domain. It is a starting point ready to lead me astray with exquisitely written content.

Find trustworthy sources and use them.

Do you fact-check the answers?

Do you fact-check the answers?

I am waiting for federation to land. Would love to give it a spin and see how smooth that works across instances.