Make it one SQLite file per user. All the read/write are parallelized per user. Backup db file would be smaller, easier. Each service node can handle N users, less for heavy follow users. Should be easier to scale horizontally the with user count by adding system nodes and Storage, networks, web handling process.

The sale person needs to talk to the Corp Legal IP team.

Here are the returns for jobs within 25 miles of where I live (bay area.)

   Keywords       jobs
   ----------------------------
   Azure          3094
   AWS            7408
   Google Cloud   2157
   React          3829     (not cloud tech, but just curious to know.)

On the other hand, in my back yard, I grow a lot veggi, strawberry with worm casting from kitchen scraps. I do still lot of insects. A lot of birds nested around my house. Produce 10-15 young birds. I found a very cool looking giant tomato worm a size of my biggest finger. It ate half of (7 ft height ) tomato plant in 2 days.

The Strawberry, cucumbers, other veggies grow with worm casting taste SO much better than from anything store .

As result, the borg collectives can access to network, even 7of9 can't enter the campus.

Someone likely would just docker/vm to partition that 80 cores into micro-service handle httpd proxy and app, db backend.

Those app/VM can easily be converted to app running pi modules.

20 pi modules likely have much better DDR, SSD, Network bandwidth. Probably scale from 2 pi to 200 pi as easily as typical vm setup - and it comes with GPUs for free for those need them.

But I do go running in the park and follow a few HIIT youtube workout. There are a lot of those in youtube. Just find the one with intensity and length you like and follow them and advance to next level in your own place.

It definitively the gateway drug that hook me into computer.

Bought $6 book on how to program Sinclair computer and copy the Basic Code from the book into that computer and record that program into audio cassette tape and output to analog TV.

Now I working daily with systems that have 128 cores, 256 threads, 256-768MB of L3 cache memory, 1TB DDR+ 8xGPUs each with 32GB of HBM.

I still think I got more "High/Rush" from the sinclair 1000 37 years ago than the latest 128C/256T CPU. Now is a job, back than it was an adventure, exploration to whole new world!

   Use simple gdb script,  break, print vals, cont, 
   This allows one to debug and app's internal states without rebuilding with printf enable. 
   Combine the above with automated regression test system, one to debug very hard problems that might take hours/days to repro.