https://analyticsindiamag.com/ai-features/almost-nobody-is-u...

It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.

Somehow even though this adds a gigantic amount of burden to reading, it taps into a “productivity” seeking part of my brain that can then create a sense of focus and accomplishment after each book.

Since then reading has been a lot easier and I can usually get to 1 hour per day. Still really underwhelming but it’s way more than I managed to accomplish through sheer force of will in the past

Our team tried to set up open telemetry to replace Datadog and got totally crushed in complexity. The model of having Open Telemetry just be for standardizing & exporting to other backends, needing glue for each part of the setup was nuts.

> After adjusting for age, sex, race, ethnicity and education, roughly 1 in 100 taxi and ambulance drivers died of Alzheimer’s, compared with 1 in 60 people overall

I would’ve thought the effects were more profound

The thing that inspired me was realizing that all of the current platforms that make it easy to host apps today are built on top of Kubernetes anyways -- they just hide it all from you. I'm hoping Canine gives people an option to self host on their own Kubernetes, and with sensible defaults, get basically as easy to use of an experience.

I feel like even after all these years we’re still missing the devex that Heroku provided.

Canine basically wraps a Kubernetes cluster -- gives you a heroku like interface to deploy applications to. At some point, if you get big enough that canine is no longer powerful enough, you can just "eject" canine from kubernetes, and continue using kubernetes directly, without having to do any migrations.

Just passed about 2000 developers, at this point most of my work is resolving bug fixes, adding helper text everywhere to make things cleaner, and supporting setups I've never encountered like homelabs with changing IP's

I feel like even after all these years we’re still missing the devex that Heroku provided.

Canine basically wraps a Kubernetes cluster -- gives you a heroku like interface to deploy applications to. At some point, if you get big enough that canine is no longer powerful enough, you can just "eject" canine from kubernetes, and continue using kubernetes directly, without having to do any migrations.

Just passed about 2000 developers, at this point most of my work is resolving bug fixes, adding helper text everywhere to make things cleaner, and supporting setups I've never encountered like homelabs with changing IP's

(Transcribes the audio, marks the timestamps, so you can delete a word in the transcript, and it’ll crop out that segment in the audio)

Just to play devils advocate though, what are the downsides of not having 3 of the biggest 10 in the world not in your fund, if you hold to track broad market performance? Wouldn’t that have a massive blind spot on AI related growth?

Whether or not I personally think ai is over hyped or not, the whole point of these ETFs is to make sure I don’t get a say in the matter, since I’m a terrible stock picker

Layoff of workers -> Workers stop spending -> businesses suffer

This is not a foregone conclusion. Laid off workers could find other jobs, with higher incomes, due to productivity increases from AI.

This narrative falls into the trap of zero sum thinking, taken at the limit, you can advocate for jobs programs and helicopter money where people get paid to do nothing to keep the economy humming.

Think about it like coolify is to a VPS as Canine is to Kubernetes.

There are definitely world class companies in Japan, but also broad systemic problems with incentives