71–80 of 589 posts
Earlier quoted context omitted.
Especially these days you can SSH to a baremetal server and just tell Claude to set up Postgres. Job done. You don't need autoscaling because you can afford a server that's 5X faster from the start.
You just use docker. It is like 4 lines of config for Postgres, the only line you need to change is on which path Postgres should store the data.
Maybe change the filesystem?
> Agents, by making it easiest to write code, means there will be a lot more software. Economists would call this an instance of Jevons paradox. Each of us will write more programs, for fun and for work. There is already so much software out there, which isn't used by anyone. Just take a look at any appstore. I don't understand why we are so obsessed with cranking out even more, whereas the obvious usecase for LLMs s…
My view is actually the opposite. Software now belongs to cattle, not pet. We should use one-offs. We should use micro-scale snippets. Speaking language should be equivalent to programming. (I know, it's a bit of pipe dream)
In that sense, exe.dev (and tailscale) is a bit like pet-driven projects.
> Agents, by making it easiest to write code, means there will be a lot more software. Economists would call this an instance of Jevons paradox. Each of us will write more programs, for fun and for work. There is already so much software out there, which isn't used by anyone. Just take a look at any appstore. I don't understand why we are so obsessed with cranking out even more, whereas the obvious usecase for LLMs s…
I honestly think this is ideal. Video games aside, I think one day we'll look back and realize just how insane it was that we built software for millions or even billions of users to use. People can now finally build the software that does exactly what they've wanted their software to do without competing priorities and misaligned revenue models working against them. One could argue this kind of software, by definition, is higher quality.
So well put, my good sir, this describes exactly my feelings with k8s. It always starts off all good with just managing a couple of containers to run your web app. Then before you know it, the devops folks have decided that they need to put a gazillion other services and an entire software-defined networking layer on top of it.
After spending a lot of time "optimizing" or "hardening" the cluster, cloud spend has doubled or tripled. Incidents have also doubled or tripled, as has downtime. Debugging effort has doubled or tripled as well.
I ended up saying goodbye to those devops folks, nuking the cluster, booted up a single VM with debian, enabled the firewall and used Kamal to deploy the app with docker. Despite having only a single VM rather than a cluster, things have never been more stable and reliable from an infrastructure point of view. Costs have plummeted as well, it's so much cheaper to run. It's also so much easier and more fun to debug.
And yes, a single VM really is fine, you can get REALLY big VMs which is fine for most business applications like we run. Most business applications only have hundreds to thousands of users. The cloud provider (Google in our case) manages hardware failures. In case we need to upgrade with downtime, we spin up a second VM next to it, provision it, and update the IP address in Cloudflare. Not even any need for a load balancer.
Potentially useful context: OP is one of the cofounders of Tailscale. > Traditional Cloud 1.0 companies sell you a VM with a default of 3000 IOPS, while your laptop has 500k. Getting the defaults right (and the cost of those defaults right) requires careful thinking through the stack. I wish them a lot of luck! I admire the vision and am definitely a target customer, I'm just afraid this goes the way things always go…
i was just curious so i tested this actually. Using fio Hetzner (cx23, 2vCPU, 4 GB) ~3900 IOPS (read/write) ~15.3 MB/s avg latency ~2.1 ms 99.9th percentile ≈ ~5 ms max ≈ ~7 ms DigitalOcean (SFO1 / 2 GB RAM / 30 GB Disk) ~3900 IOPS (same!) ~15.7 MB/s (same!) avg latency ~2.1 ms (same!) 99.9th percentile ≈ ~18 ms max ≈ ~85 ms (!!) using sequential dd Hetzner: 1.9 GB/s DO: 850 MB/s Using low end plan on both but this H…
> 100 GB data transfer+ > $20 a month 2025 or 2005, what's the difference?
Earlier quoted context omitted.
Perhaps it saves some time looking through the docs, but do you really trust an LLM to do the actual work?
Yes and an LLM checks it as well. I am yet to find a sysadmin task that an LLM couldn't solve neatly.
i just use Hetzner. Everything which cloud companies provide just cost so much, my own postgres running with HA setup and backup cost me 1/10th the price of RDS or CloudSQL service running in production over 10 years with no downtime. i directly autoscales instances off of the Metrics harvested from graphana it works fine for us, we've autoscaler configured via webhooks. Very simple and never failed us. i don't know…
Because if I have a government service with millions of users, I don’t want the cheap shitter servers to crap out on me. An employee is going to cost anywhere between 8k and 50k per month. Hiring an employee to save 200/month on servers by using a shitty VPS provider is not saving you any money.