>> It's still engineers doing X work. There really aren't that many opportunities for economies of scale with enterprise SaaS when you have SLAs and data sovere

>> It's still engineers doing X work. There really aren't that many opportunities for economies of scale with enterprise SaaS when you have SLAs and data sovereignty unless you're cutting corners. Not really, SaaS built specialized automaton to reduce the engineering effort so that they can scale better. Therefore, if the users need to spend 1 hour/day on their infra, the SaaS can spend the same amount time to manage infra for 100s customer. In some extreme cases, the software run by the SaaS is completely different to what the regular users use. For example, Confluence Cloud Kafka service does NOT actually run Kafka underneath, but a proprietary system called Kora that speak Kafka protocol.