> Do I mean "hire consultants?" No. What we need doesn't seem to exist. We need companies who do white glove integration of a software product with a bespoke Pa

> Do I mean "hire consultants?" No. What we need doesn't seem to exist. We need companies who do white glove integration of a software product with a bespoke PaaS. Like Heroku, but with more attention to architecture, monitoring, alerting, security, ci/cd, etc. Someone who will give you the tools, train your people, do integration alongside them, and provide support. And they could do this on a cloud account that the customer owns, with IAM guardrails to prevent them fucking up the platform. I think one of the reasons this doesn't exist is that you are describing every single component of the software development process here. I have a personal theory that software developers have developed severe tunnel vision about code in the last 10-15 years. Before then, most developers had some knowledge about deployment practices, shell scripts, apache, that sort of thing. They roughly understood how something like a web server worked; writing a toy one was in many CS curricula. Whereas now software developers' number 1 skill set seems to be "I know how to solve complicated algorithmic problems". Which is fine and dandy, but it takes so much time to master that it drives out all other deployment basics that many of us acquired while tinkering with software. I am talking bare minimum here, by the way -- I have worked with developers a year or two out of college who did not know what a shell script was because they had spent their entire degree inside either an IDE or Leetcode. This, combined with the fact that complexity has increased exponentially in the operations tooling space means that you sort of need knowledge about operations knowledge in your software engineering team along with complicated algorithmic problems. You could do this by hiring some very expensive consultants like you describe. I think you could also do that by altering your hiring pipeline to de-emphasize algorithmic problem solving, and increase the importance of ops knowledge and testing.