253 karma · joined January 9, 2017
https://aaronbatilo.dev
I'll sometimes chat with the people who have had to maintain whatever ground work I had laid, and each time around, I get a little bit better at laying down a framework of infrastructure and operations that's better and better at staying sustainable
It's been years that writing Dockerfiles has been fairly common. Years. And yet it's still so common that people write such poorly optimized Dockerfiles.
I think we should definitely start thinking about admitting that it's too much over head for people to learn how to write a Dockerfile.
That being said, I've known Kyle for a while now. The team at Depot have consistently shown the deepest possible understanding of the container ecosystem. I'm very excited to see what else they do.
I'm not officially affiliated with them at all. But I'm a big fan of their product.
It appears that one difference though is that Depot is more focused on just docker builds and y'all are more generalized runners Is that right?
In other words, they're used when you want to share some kind of state across all of the computers, without the potential overhead of communicating to some other system like a database.
Physics simulations and like, molecular modeling come to mind as common examples.
In the case of ML training, model parameters and broadcasting the deltas that get calculated during training are that shared state.
As of 2 months ago, they had at least 7000 up and running, fwiw
Subjectively, the AWS provider will at least validate that fields have valid values during the plan step. The Google provider doesn't seem to validate actual values until apply, and then you get a failure
And for those that are fulfilled from technical challenges, I think you basically have to go to a larger company that is running into scale problems.
Also, the `Quick Start` link in the readme goes to a 404.
I would like to go back to open sourcing all things I play with but maybe I need to find a repo structure and tooling that would make that more sustainable.
I recently joined one of the LLM provider companies and watching these phases over the next few years will be really interesting. Especially combined with what's going on with regulation and the like.
Random aside, hi Elad! I think you're reading some of these comments. I just left Color after ~2.5 years. I hope to get to formally introduce myself to you one day.
I was interviewing with Claypot.ai and when I met her for my first conversation, she was on a walking treadmill and very clearly was more interested in a Slack conversation she was having.
She moved me on to the next round which I irrefutably bombed and was respectfully told that I wouldn't be moving on which was the right decision, but I'll never forget watching her walking motion while looking at Slack on her second monitor almost the entire time we were talking.
Maybe ironically, my analytics provider (not Google) has recently started showing the tiniest upwards momentum in Bing being a top referrer. Since all my traffic grew steadily after 2 years of no changes, I'm now curious to see what happens if I continue to just let it sit there.
Asking for myself as someone who has a hard time sticking to one idea to explore: are the pivots coming from finding it in hard to land customers? Is it hard to stay motivated with a single product? The pivots look pretty drastic as an external observer but maybe they've all been very organic from the inside.
I went from an average page rank position of 4 for relevant keywords to nothing and now there's 0 growth for views of my site. I'd have been better off just not touching it at all. Sad.
Prior to making changes, I had consistent 30% MoM growth for 4 months in a row and all from Google results.
I didn't touch the website at all in those 2 years and when I started getting traffic from Google, I decided that maybe I should setup the Google search console SEO best practices.
I went through their entire checklist and my traffic went to flat 0. I scored a perfect 100 across every category on their web page insights and my reward was getting completely delisted from all of their search results.
I love working with earlier career engineers but their code isn't known to always be very high quality. How does that work on GitStart?