Long story short, my VPS, which I’m forwarding my servers through Tailscale to, got hammered by thousands of requests per minute from Anthropic’s Claude AI. All of which being from different AWS IPs.
The VPS has a 1TB monthly cap, but it’s still kinda shitty to have huge spikes like the 13GB in just a couple of minutes today.
How do you deal with something like this?
I’m only really running a caddy reverse proxy on the VPS which forwards my home server’s services through Tailscale. "
I’d really like to avoid solutions like Cloudflare, since they f over CGNAT users very frequently and all that. Don’t think a WAF would help with this at all(?), but rate limiting on the reverse proxy might work.
(VPS has fail2ban and I’m using /etc/hosts.deny for manual blocking. There’s a WIP website on my root domain with robots.txt that should be denying AWS bots as well…)
I’m still learning and would really appreciate any suggestions.
In the Verge article, are you talking about the table the the “presumably” qualifier in the table column headers? If so, not only is it clear they don’t know what, exactly, is a attributable to the costs, but also that they mention “gross pay”, which is AKA “compensation.” When a company refers to compensation, they include all benefits: 401k contributions, the value of health insurance, vacation time, social security, bonuses, and any other benefits. When I was running development organizations, a developer who cost me $180k was probably only taking $90k of that home. The rest of it went to benefits. The rule of thumb was for every dollar of salary negotiated, I had to budget 1.5-2x that amount. The numbers in “Presumably: Gross pay” column are very likely cost-to-company, not take-home pay.
I have some serious questions about the data from “h1bdata.info”. It claims one software engineer has a salary of $25,304,885? They’ve got some pretty outlandish salaries in there; a program manager in NY making $2,400,000? I’m sceptical about the source of the data on that website. The vast number of the salaries for engineers, even in that table, are in the range of $100k - 180k, largely dependent on location, and a far cry from a take-home salary of 500,000€.
It’s government reporting data. If you find a better source I say go for it. But I used that data for salary negotiations in the past successfully.
I’m not talking about take home. I’m talking about total annual compensation including things like RSU payouts etc.
Even if we throw out the ones you doubt there are many 300k to 400k entries with the AI researcher title. If we add annualized RSU payouts we easily hit over €500k.
At this point t though you are free to doubt me.