> I worked with Azure at previous jobs a lot and never had any really big issues
to what extent, though? over the course of my working with azure, ive been disappointed constantly, by just about every service i've used. things that should work a particular way don't, and when you try to investigate you end up in a maze of out-of-date and/or totally wrong documentation. i've started a project before, followed their precise "quick start!" guide to the letter, and find it totally non-functional and wrong.
things that DO work end getting updated (often due to financial incentives) and break, or shuddered entirely. some values that you might want to change for certain services are hard-coded (which, to their credit, you can verify from their public github repos) for ostensibly no reason. a lot of their documentation is internal only, and the public facing stuff feels perennially out-of-season.
(opinion) i feel like fundamentally microsoft has embraced ai development so wholly because they've not been able to describe their services in documentation very well, and thus rely heavily on the ai's ability to digest what scraps of truth remain and the various source code to be effective at delivering output
to what extent, though? over the course of my working with azure, ive been disappointed constantly, by just about every service i've used. things that should work a particular way don't, and when you try to investigate you end up in a maze of out-of-date and/or totally wrong documentation. i've started a project before, followed their precise "quick start!" guide to the letter, and find it totally non-functional and wrong.
things that DO work end getting updated (often due to financial incentives) and break, or shuddered entirely. some values that you might want to change for certain services are hard-coded (which, to their credit, you can verify from their public github repos) for ostensibly no reason. a lot of their documentation is internal only, and the public facing stuff feels perennially out-of-season.
(opinion) i feel like fundamentally microsoft has embraced ai development so wholly because they've not been able to describe their services in documentation very well, and thus rely heavily on the ai's ability to digest what scraps of truth remain and the various source code to be effective at delivering output