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So, what is the practical TL;DR for everyone who isn't neither an employee nor investor? Hashicorp kinda made a lot of significant stuff, but that stuff is mostly FOSS and the commercial product is very niche. I am kinda surprised IBM even bought it, because it isn't very clear to me, how commercializeable this stuff is. So what does it mean? Will IBM most likely kill some FOSS products? Is this even possible? Were, say, terraform or nomad developed mostly by internal devs, or is there a solid enough community already to keep up with development or simply fork the tool if things go south?



IBM probably wants to bundle hashi products as part of their cloud offerings and can milk other cloud providers in licensing fees. All cloud providers support terraform and most current infrastructure is probably configured in HCL.


tl;dr: charging money for free software is, like, really hard.


To an extent maybe.

We were ready to invest in HC tools, but they were so damn brittle once we actually got past the smooth apple-like marketing and actually used them. Plenty of odd, not-well-documented behavior, random crashes, even the clusters required a bunch of manual steps to recover from. A major reason to even have a cluster is the self-healing, something tools like MongoDB did right 10+ years ago. Yet we had to manually edit a peers.json file and do all this garbage half the time when our clusters kept dying. It was infuriating. I kept insisting my devops guy had to be wrong when he told me that was the way it was done. I just couldn't believe that anything in 2021 required manual editing of JSON files when we have a million different self-discovery mechanisms (whether it's cloud metadata, or mDNS, etc). But he was 100% right, much to my disbelief.

So we ultimately pulled the plug after months of HC stuff running our QA system, because I just didn't feel comfortable pushing it to production given all the random crashes and behavior issues. And I feel vindicated.

I think if their stuff was more solid, I would 100% be happy to pay for it for our use cases. I thought generally that their ideas and levels of abstraction felt "right"




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