[ RpcIpcMessagePortClosedError: Process 38 exited [SIGKILL].

[tfns]

[ RpcIpcMessagePortClosedError: Process 38 exited [SIGKILL].

[TheRealDarkCoder]

It was indeed a Memory issue, builds just fine with a higher RAM on the VPS shrugs, who would have expected

[XeR]

Hello, what commit hash are you using ?
Did you change any files besides .env ? (i.e. what is the output of git status ?)

*note, i got a few of these messages when building:
[...]

You can safely ignore these warnings.
We had to upgrade some packages partially to avoid vulnerabilities

[TheRealDarkCoder]

root@PubBuntu:~/CTFNote# git status
On branch main
Your branch is up to date with 'origin/main'.

Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
        modified:   .env
        modified:   docker-compose.yml

no changes added to commit (use "git add" and/or "git commit -a")

Im on the latest main branch. Pretty sure this is a system specific problem (Cause I can set it up on my home PC same branch easily). Just trying to figure out what might cause it like firewalls or anything (Since all I can infer from the error message is that some port is closed?)

[JJ-8]

@TheRealDarkCoder This issue seems to be very similar: TypeStrong/fork-ts-checker-webpack-plugin#674. Maybe it is useful to look into the solution that is provided there?

[TheRealDarkCoder]

I have just spun up a completely fresh VPS and the issue persists, so maybe it's not just system specific.

@JJ-8 I don't know how to patch a node module from inside a docker during build.

[XeR]

Is there any log message explaining why a process got SIGKILL'd ?
Try journalctl --boot if your distribution uses systemd and look for anything suspicious

[TheRealDarkCoder]

Looks like the kernel killed the process due to out of memory. Running htop while it builds confirms that the memory usage keeps getting higher until it crashes. There is no way this is a hardware issue, right? The droplet got 2 gigs of memory.