The OP was complaining it was difficult to maintain Postgres, with late nights. Expensive in human resource costs. You’re now switching to a different topic, from total cost of ownership to resource cost of ownership, not taking into account human operator costs.
EDB argues that human costs of operating an highly available cluster with hot standby etc using cnpg & the abstraction it offers is much lower than without an Kubernetes operator.
Of course a highly skilled and experienced Postgres guru with years of experience can run a highly available cluster on less compute resources. But what happens if that person is not available? On holiday leave, with pension? How many of those gurus would a company need to employ? How many of these self maintained pg clusters can a couple of these gurus maintain?
EDB argues that human costs of operating an highly available cluster with hot standby etc using cnpg & the abstraction it offers is much lower than without an Kubernetes operator.
Of course a highly skilled and experienced Postgres guru with years of experience can run a highly available cluster on less compute resources. But what happens if that person is not available? On holiday leave, with pension? How many of those gurus would a company need to employ? How many of these self maintained pg clusters can a couple of these gurus maintain?