Minecraft server Manager

#DieLog #3 Live stats & Status polling
Picked up where I left off with a working dashboard that could start/stop containers via HTMX, but the status label was static — no way to tell “starting” from “running,” and CPU/RAM usage was still hardcoded placeholder data from servers.json. Today’s session closed both gaps.
Starting vs. running. Turns out docker start marks a container as running in .State.Status almost instantly — the process is alive, but a Minecraft server still needs real time to generate the world and load plugins. Digging into docker inspect showed the missing piece was .State.Health.Status (starting / healthy / unhealthy), which reflects whether the game actually responds on its port. Combining both fields gives an accurate starting → running transition instead of a status that lies for the first 30+ seconds of boot.
Polling instead of guessing. Wrote pollUntilStatus, a goroutine kicked off after a successful docker start/stop call. It checks container status every 5s and writes the result back into the shared server map until it hits the target state, then exits — no wasted background work once the goal is reached. When the target is running, it hands off to a second goroutine, pollStats, which polls docker stats –no-stream every 5s for as long as the server stays up, and quietly stops the moment status flips away from running.
What went wrong (and got fixed). Two real bugs, both classic Go concurrency traps:
A deadlock in pollStats — called Lock() on the mutex, then called Lock() again a few lines later without releasing the first one. Everything just hung. Fixed by splitting reads (RLock) from writes (Lock) into properly scoped, non-overlapping sections.
An HTMX polling storm — the status fragment carried hx-trigger=“load, every 5s” on itself, so every 5-second refresh re-triggered load instantly, turning “every 5 seconds” into “every few milliseconds.” Fix was moving load to the outer placeholder only, leaving every 5s on the fragment that gets swapped in.
Numbers sanity check. docker stats reported ~0.7% CPU / ~10% memory for an idle vanilla server, while the system monitor showed 40–60% CPU and 5GB RAM at the same time. Looked alarming until it became clear those are two different measurements entirely — docker stats is scoped to the one container, the system monitor is the whole machine (browser, editor, Docker daemon, everything). Once isolated, the container numbers checked out fine.
Net result: dashboard now shows live, accurate status and live CPU/RAM bars over HTMX auto-refresh, all backed by two lightweight, self-terminating goroutines instead of one permanent background loop. Also switched from VS Code to Zed mid-session over memory leaks — anecdotally, Zed didn’t break a sweat running alongside the Docker container, something VS Code couldn’t handle before.

base UI, client side routing, login and placeholder GUI

In our serever i reserved two routes, one will send you to localhost:8080/static/login.html

there you go to the login validatioin with our nnonperamnently hardcoded data.
It willmhit the endpoint to validate and rerout to localhost:8080/dashboard

now.

I will connect the html to html/template base to get refreshed data from our go server, and update in time.

What would i like today to manage is make working Start stop button. THATS IT. it will be a lot of work but go easier from there

This was long (DieLog #2)

What did we achive ?
Go serrver -> reads status of current container,

start, stop handlers, with curl on the endpoint.
Working status reader.

AUTH, middleware, and cookie token flow to make sure our user is our user.

Whats up next? we are aprochaing the great work of frontzend.

We have a bit of an issue tho -> HTMX wants an HTML fragment, were sending JSON strings so we have to fix that.

And now i quote claude “Look at my frontend skill so the auth pagfe doesnt endup like a 5 year olds crayon project” im lowk fried.

Auth, middleware, cookies completed (dieLog #1)

go server now supports these actions.
you might ask. BUT WHATS NEXT

i will tell you

1. Docker integration
   2.Install setup flow
2. Small stuff to fix

99999……..fronten
why ? we have to have a working api to make it usable.:)
Peace, im out