| ▲ | exceptione 8 hours ago | ||||||||||||||||
Isn't there a less convoluted way of making the best engineers leave? I am half serious here. If you want your software to run slow, IT could equally well install corporate security software on developer laptops. Oops, I did it again. Oh well, in all seriousness, I have never seen any performance problem being solved by running it on Azure's virtualization. I am afraid you are replacing the hardware layer by a software layer with ungodly complexity, which you are sure of will be functionally incomplete.Are you sure they don't have to fix the build pipeline first? Tens of thousands of vCPUs for a single compilation run, or to accommodate 100 developers who try to compile their own changes? | |||||||||||||||||
| ▲ | jjmarr 7 hours ago | parent [-] | ||||||||||||||||
> I have never seen any performance problem being solved by running it on Azure's virtualization Sorry, I wasn't clear. I am not virtualizing the workspace. I'm using `recc` which is like `distcc` or `ccache` in that it wraps the compiler job. Every developer keeps their workstation. It just routes the actual `clang` or `gcc` calls to a Kubernetes cluster which provides distributed build and cache. > Isn't there a less convoluted way of making the best engineers leave? We have 7000+ compiler jobs in a clean build because it is a big codebase. People are waiting hours for CI. I'm sure that drives attrition and bringing that down to minutes will help retain talent. > Tens of thousands of vCPUs for a single compilation run, or to accommodate 100 developers who try to compile their own changes? Because it uses remote execution, it will ideally do both. My belief is that an individual developer launching 6000 compiler jobs because they changed a header will smooth out over 300 developers that generally do incremental builds. Likewise, this'll eliminate redundant recompilation when git pulling since this also serves as a cache. | |||||||||||||||||
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