[1] Various HN posts regarding Hetzner vs AWS in terms of costs and perf.
3x EX44 running Patroni + PostgreSQL would give you 64GB of working memory, at least 512 GB NVMe of dataset (configurable with more for a one-time fee) at HA + 1 maintenance node. Practically speaking, that would have carried the first 5 - 10 years of production at the company I work at with ease, for 120 Euros hardware cost/month + a decent sysadmin.
I also know quite a few companies who toss 3-4x 20k - 30k at DELL every few years to get a database cluster on-prem so that database performance ceases to be a problem (unless the application has bad queries).
I want to like Hetzner but the bureaucratic paper process of interacting with them and continuing to interact with them is just... awful.
Not that the other clouds don't also have their own insane bureaucracies so I guess it's a wash.
I'm just saying, I want a provider that leaves me alone and lets me just throw money at them to do so.
Otherwise, I think I'd rather simply deploy my own oversized server in a colo even with the insanely overpriced hardware prices currently.
edit: And shortly after writing this comment I see: "Microsoft won't let me pay a $24 bill, blocking thousands in Azure spending" https://news.ycombinator.com/item?id=46124930
That’s been my experience with Hetzner.
A lot of people get butthurt that a business dares to verify who they’re dealing with as to filter out the worst of the worst (budget providers always attract those), but as long as you don’t mind the reasonable requirement to verify your ID/passport they’re hands-off beyond that.
I guess my concern on the bureaucracy is if you are unlucky enough to get flagged as a false positive it can be an annoying experience. And I can't really blame them too hard for having to operate that way in an environment of bad actors.
You're definitely right that the budget providers do attract the types of people trying to do bad things/exploit them in some way.
But basically after the initial paperwork I had some issues with my account getting flagged even though I wasn't using it 99.999% of the time. It's not a huge deal for me because I wasn't trying them out for anything serious. I just questioned how often that might happen if I was actually using it seriously and what kind of headaches it could cause me while re-verifying everything with them.
From people I know if everything is going good then their service is great. Server performance is good, pricing is good, etc.
I had more trouble onboarding AWS SES, with a process that felt more like me begging. With which I said fuck it and went with self hosting ever since (on a bare metal server no less)
I remember a time in France for instance, about 15years ago, it was mandatory to provide your ID when bying a mere prepaid sim card. No seller would actually check, and a coworker of mine who used to work for one of the largest french telcos at the time told me that once they ran some stats over the customer database and noticed that most names where from popular comics and TV show. They laughted and moved on. These days, the seller would at least ask for some ID.
aka circling the cattle.
I suppose they might have more KYC procedures for personal accounts based outside the EU otherwise I have no clue.
Then the bureaucracy you mention which is just a reflection how they work internally as well.
Compare that with AWS, where login is slow and unreliable (anyone else got an error message after every login and has to refresh to get in?), the website is a giant mess collapsing under its own weight, and slow like it's still running websphere.
Over the last 10 years, I've certainly lost way more time working through aws paperless bureaucracy than complying with Hetzner paper bureaucracy. And I'm not even using aws for that long.
> This particular upper bound is untested since the developers do not have access to hardware capable of reaching this limit.
> However, tests do verify that SQLite behaves correctly and sanely when a database reaches the maximum file size of the underlying filesystem (which is usually much less than the maximum theoretical database size) and when a database is unable to grow due to disk space exhaustion.
No one has solved this problem. Scale out is typically more elastic, at least for reads.
But it only works if workloads remain fixed. If workloads grow at similar rates you’re back to the same problem.
Does my data fit in RAM? https://yourdatafitsinram.net/
Not sure using EC2/AWS/Amazon is a good example here, if you're squeezing for large single-node performance you most certainly go for dedicated servers, or at least avoid vCPUs like a plague.
So yeah, easily.