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simo7

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simo7
·2 jaar geleden·discuss
Slavery. For instance the technology for windmills already existed at the time, it just wasn't that big of a deal in world with an abundance of slaves. Fast forward to the Middle Ages and you find it everywhere.
simo7
·3 jaar geleden·discuss
Interesting, I’m starting to think undocumented thresholds are quite common in GCP.

I experienced something similar with Clod Run: inexplicable scaling events based on CPU utilization and concurrent requests (the two metrics that regulate scaling according to their docs).

After a lot of back and forth with their (premium) support it turns out there are additional criteria, smthg related to request duration, but of course nobody was able to explain in details.
simo7
·3 jaar geleden·discuss
I have a different approach: I'm ok to throw away significant chunks of code as long as I have important new ideas that allow me to do more with less.

Often the problem with refactors is that don't come with enough of these new ideas , there's no real progress, it's mostly moving things around.
simo7
·3 jaar geleden·discuss
Fewer than 10k wouldn't be surprising at all, yes.
simo7
·3 jaar geleden·discuss
The 65k figure is what ancient historians reported, in reality it’s almost certainly order of magnitudes lower. Exaggerated figures are usually the case with ancient reports (especially about battles).
simo7
·3 jaar geleden·discuss
You can ship your local docker context to a remote host and build/run your containers there. All the docker commands you typically run locally you can run on the remote host.

https://www.docker.com/blog/how-to-deploy-on-remote-docker-h...
simo7
·3 jaar geleden·discuss
Isn’t a monolith with split workloads just a monorepo?
simo7
·4 jaar geleden·discuss
The main flaw of the article is not controlling for product category.

I suspect most data warehouses have similar NDRs.

In many companies a data warehouse is the place where you dump all your data and let everyone run poorly written programs against it.

Add to that poor engineering culture in data teams (often lead by non-technical people) and costs are bound to skyrocket.