Doom Perf Lab Playground
Explore host CPU/Memory/Disk/Network telemetry as an interactive Doom diagnostics lab. Building on Brendan Gregg's USE methodology, this lab visualizes live system stats via a Doom environment.
Brendan Gregg's USE Methodology is a super cool way to explore potential bottlenecks in different linux system components (CPU/Memory/Disk/Network), but a lot of the ways you'll see people demonstrating it are via a terminal.
This is a way to see the different system telemetry signals in a Doom environment. Based on the very cool https://github.com/pascalvanderheiden/doom-typescript.
It's also got the use-practice tool installed, so you can put real stress on the system to visualize in the Doom world. You can even run a random load and see if you can find it in the environment.
And if you're really curious, you might even find the easter egg hidden in there somewhere...
The source code is available at https://github.com/lpmi-13/doom-perf
A real VM, not a container
Get root on a VM with its own kernel, so Docker, Kubernetes, and systemd just work.
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SSH from browser or CLI
Use the built-in web terminal, or connect with labctl ssh, plain ssh, scp, or rsync.
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Drive it with AI
Let Claude, Codex, or any MCP client start this playground and run commands in it.
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Expose HTTP(S) ports
Give any web app running inside the VM a public URL - for yourself or to share with others.
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Share terminals
Invite others into your terminal session, or open it yourself from another device.
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Customize with init scripts
Add shell scripts that run at boot to install packages, clone repos, or seed test data.
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Private networking
VMs reach the internet via NAT with no public IP; several VMs share bridge networks.
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Ephemeral or persistent
By default, VMs are destroyed when the session ends; enable persistence to keep the disks for next time.
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Built-in container registry
A private registry.iximiuz.com for every playground to share images across services and VMs.
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