Years earlier, old brick & mortar company brought in tech consultants to rapidly pivot to e-commerce, who then farmed out most of the work to InfoSys.
My team's own spend was ridiculous. Our hottest data set, which could easily fit in RAM, was on DynamoDB. So much "event sourcing" and CloudWatch. Because you needed all those logs for troubleshooting such a brittle system, right?
And since our core function was the recommendation engine, of course we hoarded and munged data like gnomes, with almost no value add, result negative ROI. (+70% of our "lift" was from the customer's own "recently viewed" list. The highest cost recommendations accounted for less than 3% of "lift".)
There was some director level push to migrate from AWS to Google. Which meant first Kubernetes and then Google. Such fun.
There was next to zero consideration of questioning assumptions. Like unwinding the unholy tar pit of mainframe era batch processing mentality fork lifted onto cloud era web services hotness.
And I don't think they could question their assumptions. The skills and experience of the traditional brick & mortar types simply couldn't.
This "consultants ruin everything" story has played out across all industries.