It's more than just views. It's rewatches, binge watches, complete vs interrupted episode watches, probably even time skips.
Likely also where the view comes from, like a specific search vs general recommendations vs targeted recommendations
Supabase is a dockerised postgres with user auth, rest API and some other goodies. It's maybe too complicated as a starter.
Appwrite might also work for ya. Much easier to get into, but also less feature complete.
Pocketbase might also work. Haven't used it tho
Sqlite is a great embedded database.
If you are storing lots and lots of information in a JSON file, CSV file, or coming up with your own serialisation... Chances are, sqlite is going to do it better.
I know loads of android apps use sqlite for storage. I've also managed to open quite a few programmes "proprietary" file format in sqlite.
What's you email provider? Do you use a program, or web app?
He's worked so hard and come so far, he can hopefully now treat himself to a sandwich and a sky subscription.
Interesting to see a lot of these responses (so far) are workflow related instead of being used in production.
Or, it's more like being on a roller coaster and hearing a clank noise.
You report it, and hope the company fixes it.
You don't own the roller coaster. You aren't responsible for the roller coaster.
But it's a better roller coaster than the other one on the park, so that why you pay to ride it.
Has vertical integrated farming made any progress here?
I imagine it's still more expensive than fields of crops, but it's a hell of a lot cheaper than no crops.
I wonder if their IPO and now public trading will change that
Even at 10m/s, thats 41kN of force.
I always thought data centers ran clean and dirty loops of cooling (as far as computers are concerned).
The clean loop has all the chemicals and whatnot to keep cooling blocks and tubing "safe". The dirty side is just plain old water. And a big heat exchanger transfers the heat from the clean (hot) loop to the "dirty" (cold) side.
Is there really that much pollution in that? Can't be worse than rain going through storm drains or whatever.
But AI does use a phenomenal amount of power.
And, IMO, it's a problem compared to the lack of value people are getting from AI.
The new Blackwell B200 consumes 1.2kw of power, and will produce 1.2kw of heat.
A cooling system with a COP of 5 needs to consume 240w to dissipate this.
The backplane for the B200 holds 8 of these GPUs in a 10 RU space, and with overheads will peak 14.3kw (cooling would be 3kw consumption).
So, a 42u data center rack with 3 of these, supporting hardware and UPS efficiencies (80%) is going to be 52kw (+10kw cooling). 62kw total, which is like 4 homes drawing their full load all the time.
I hope they finally find an application for AI, instead of just constantly chasing the dragon with more training, more parameters, more performance etc.
Nginx Proxy Manager is probably perfect for you.
Pick a domain (like mylab.home or something), set up your home network to resolve that domains IP as your docker hosts IP.
NPM will do self-signed certs. So, you will get a "warning, Https is insecure" kinda page when you visit it. You could import NPMs root cert into your OS/browser so it trusts it (or set up an "don't warn for this domain" or something).
If you don't want per-client config to trust it, then you need to buy a domain, use a DNS that supports letsencrypt DNS-challenge, and grab certs that way (means you don't need a publicly accessible well-known route exposed)