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Storage, compute and networking mostly. I'm confused by your question - are you suggesting that early stage startups couldn't possible generate a workload to warrant that cost? Maybe if your idea of a startup business is limited to running a basic CRUD app. But other data-intensive projects have engineering needs that can easily reach that scale, especially in the early days when you're trying to bootstrap your data catalog or ML models or whatever.

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Those cases are rare as hell, $150k should be enough for nearly anyone. You are making bad engineering decisions if you go through that in under a year.

Obviously. Lmao.

Not so obvious to those of us with experience in data-intensive startups.

Ha, well tell that to the hard drive manufacturers and cloud providers.

The storage bill alone exceeded that at four startups I've worked with. When your job is to manage X PB of data with Y TB arriving daily, you're fairly constrained on the cost floor of your operations.

> You are making bad engineering decisions if you go through that in under a year.

Fine. You lack the imagination to conceive of a use case, or you lack the knowledge and skills to get the job doing it. Either way, this comment is rude and ignorant of the diversity of software challenges that exists in the real world.

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