#snapd — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #snapd, aggregated by home.social.
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This Week in Security: Linux Flaws, Python Ownage, and a Botnet Shutdown
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This Week in Security: Linux Flaws, Python Ownage, and a Botnet Shutdown
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Some how I am very envious of the 60MB RAM footprint while booting into a #linode #vps. The best I could get onto my #homelab is 300MB usage on a #Ubuntu cloud image. This is unfortunately the same as my desktop #ArchLinux with #KDE running.
The Ubuntu server image idled at 600MB RAM usage with #docker & #sshd. The culprits using most ram are #snapd & #multipathd.
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Some how I am very envious of the 60MB RAM footprint while booting into a #linode #vps. The best I could get onto my #homelab is 300MB usage on a #Ubuntu cloud image. This is unfortunately the same as my desktop #ArchLinux with #KDE running.
The Ubuntu server image idled at 600MB RAM usage with #docker & #sshd. The culprits using most ram are #snapd & #multipathd.
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Some how I am very envious of the 60MB RAM footprint while booting into a #linode #vps. The best I could get onto my #homelab is 300MB usage on a #Ubuntu cloud image. This is unfortunately the same as my desktop #ArchLinux with #KDE running.
The Ubuntu server image idled at 600MB RAM usage with #docker & #sshd. The culprits using most ram are #snapd & #multipathd.
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Some how I am very envious of the 60MB RAM footprint while booting into a #linode #vps. The best I could get onto my #homelab is 300MB usage on a #Ubuntu cloud image. This is unfortunately the same as my desktop #ArchLinux with #KDE running.
The Ubuntu server image idled at 600MB RAM usage with #docker & #sshd. The culprits using most ram are #snapd & #multipathd.
-
Some how I am very envious of the 60MB RAM footprint while booting into a #linode #vps. The best I could get onto my #homelab is 300MB usage on a #Ubuntu cloud image. This is unfortunately the same as my desktop #ArchLinux with #KDE running.
The Ubuntu server image idled at 600MB RAM usage with #docker & #sshd. The culprits using most ram are #snapd & #multipathd.