32 karma · joined August 9, 2018
I'll have two of the same RPi servers in different locations with all software running (like a hot swap) with Syncthing keeping them in sync while ZFS snapshots keeps a history. I can plug in a cold storage drive in the second dock slot once in a while too. I'll have a spare RPi4b on the shelf in case it dies. If my server dies I can take the off site hot backup home and reconfig the network and then it is my primary server. With remote duplicacy backup I'm days away from getting going again. So ZFS snapshots + Syncthing and cold storage is where I'm going (for home use). Also I want to stick with Linux because I set up Freenas 5 years ago and now I forget how to admin it so I'd rather just keep with ZFS and Linux (the zfs send from freenas to zfs recv on Linux works perfectly).
1. Pick up the laces. 2. Cross the laces over like this... (but don't have them looping into each other like in the picture) 3. and back, leaving loops either side 4. Take the left lace underneath... 5. then back over the top... 6. and wrap round underneath again... 7. and back over the top again. 8. Now similarly with the other lace... 9. underneath, but the other way... 10. then wrapping round as before. 11. Push the lace through the four centre strands. 12. And the same with the other. 13. Then tighten the knot up. 14. Finally, here is an alternate one with an extra turn (at step 10.5).
This is a great shoelace knot as it loosens and cinches tight without untying.
The EDA tools have no ecosystem you can hook into and they don't really care about the user trying to put the simulators into a flow to solve their problem. It is a bunch of point tools each with their own embedded interpreter that don't play together. I sure hope there is a plan to create a better set of tools so I can write custom netlist checks and do something novel (like get derivatives out of the simulator) and in-memory (no slow disks) and run custom Julia checks during simulation. Julia is a much better match because running Python or MATLAB code within the simulator is way too slow. I'll keep watch for sure.