Q: "Does my data fit in RAM?" https://news.ycombinator.com/item?id=22309883

A: https://yourdatafitsinram.net

Is there a one-liner to build llvm e.g. with k8s and containers, or just a `git push` to a PR? #GitOps

And another to publish a locally-signed tagged build?

`conda install rust` does install `cargo`.

`conda install -c conda-forge -y mamba; mamba install -y rust libllvm14 lit llvm llvm-tools llvmdev`

conda-forge/llvmdev-feedstock; ninja, cmake, python >= 3 https://github.com/conda-forge/llvmdev-feedstock/blob/main/r...

.scripts/run_docker_build.sh is called by build-locally.py: https://github.com/conda-forge/llvmdev-feedstock/blob/main/....

Is there a service that rides on top of aws that offers distcc (or whatever equivalent) or direct pure compile with source uplodate and nothing else? I'd rather pay them than deal with AWS.

I believe the fact that you propose renting cloud resources just for compilation shows that something aint right

Im able to compile c# compiler way faster and with less resources

I personally work on something written in C and we use bog standard gcc. But when you have 10+ variations to build, tests to run, etc, the parallelism you can get from a bunch of cores makes an enormous difference.

> 10 minutes of a c6i.32xlarge costs less than a dollar at on-demand rates in the us-east-2 AWS region.

That assumes you have an AWS account. There are legitimate reasons to not have an AWS account; for instance, you might not want to risk accidentally racking up huge bills, or you might not have access to a payment method AWS accepts, or you might want to avoid using services under USA jurisdiction (due to GDPR concerns or similar).

AWS was just an easily accessible example. Sub in OVH if you prefer, I'm sure they have similar options for similar prices.

You can use AWS and be GDPR compliant. What are you talking about?