HOW MUCH: $100
CONDITION: Excellent – all antennas and ports work, perfect cosmetic condition, inc. original power adapter
WHERE: United States
SHIPPING: Free in the continental US
WHY: Nice device, but doesn't fit my needs as well as I'd hoped.
SPECS: https://www.synology.com/en-global/products/RT2600ac
Community newb here: Is it acceptable to post personal for-sale items here? Or is that considered spam? I am retiring a nice Wi-Fi router and would like to find it a new home instead of making more electronic waste. And this seems like a community where someone might want it.
Thanks!
So, couple years ago i started to learn about tech, programming and self hosting services thanks to redditors ( not reddit the evil corp ), and found lots of communities where they pointed me to good resources but then ended up allocating more time to learning programming to switch career into that field and finally got it....
reddit's r/homelab and r/selfhost were my go-tos, but Spez decided to kill the golden goose, so I left. I've been trying to help the Kbin and Lemmy communities grow, but we'll see how it goes…
Oh! Also Tildes! It's been established for a while but the user base isn't huge since it's still in beta. LMK if you'd like an invite.
DNS includes wildcard support, so I can easily use anything.mydomain.net
After briefly trying out a couple of somewhat ingrated Caddy projects others have done, I decided they were too specific to their set-ups and did not make my life easier. I tossed them out and went simple. I wanted something super easy to understand, and thus easy to troubleshoot.
First I set it up in Docker. I created a really, really simple docker compose file:
version: "3.7"
services:
caddy:
image: caddy:alpine
restart: unless-stopped
ports:
- "1080:80" # Because Synology DSM reserves 80 for itself
- "10443:443" # Because Synology DSM reserves 443 for itself
- "10443:443/udp" # Because Synology DSM reserves 443 for itself
volumes:
# next four lines are default
# - $PWD/Caddyfile:/etc/caddy/Caddyfile
# - $PWD/site:/srv
# - caddy_data:/data
# - caddy_config:/config
- /var/docker/caddy/config/Caddyfile:/etc/caddy/Caddyfile
- /var/web:/srv # serve this by default?
- /var/docker/caddy/data:/data
- /var/docker/caddy/config:/config
volumes:
data:
external: true
config:
external: true
(If the machine you are running Caddy on doesn't reserve ports 80 and 443 for itself like Synology DSM does, you don't need the ridiculous high ports I mapped. Just do 80:80 and 443:443.)
Then I created a simple Caddyfile.
web.fakeme.net, www.fakeme.net {
# This connects to the default Synology web service
reverse_proxy 192.168.2.15:80
}
This tells Caddy: When you get a request for web or www, send it to the machine at 192.168.2.15 using port 80.
Then I added to it, one service at a time to make sure things worked at each step
I save and backup all the photos on a Synology NAS instead of using one of the online providers. However Synology Photos doesn't have good search capabilities. So I built a project to search through the images using natural language captions, and found that it works really well....
I saw that Synology Photos is getting some sort of object recognition in an upcoming update. But I love the idea of running your app on a container on my Mac (with lots of cores to run the ML code) while keeping the photos homed on the NAS. Definitely going to play with it :)
ELI5 resources for publishing self hosted services (kbin.social)
So, couple years ago i started to learn about tech, programming and self hosting services thanks to redditors ( not reddit the evil corp ), and found lots of communities where they pointed me to good resources but then ended up allocating more time to learning programming to switch career into that field and finally got it....
[PROJECT] An application to search through Synology Photos using natural language captions (kbin.social)
I save and backup all the photos on a Synology NAS instead of using one of the online providers. However Synology Photos doesn't have good search capabilities. So I built a project to search through the images using natural language captions, and found that it works really well....