Hungry Minds — ColdFusion 2025 Production & AI Playground
Multi-VM advanced training environment: CF dev + CF prod + Ollama AI node. Course content by Alejandro Mercado / Hungry Minds.
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- oci://ghcr.io/mercadoalex/cf-training:advanced
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- oci://ghcr.io/mercadoalex/cf-training:advanced
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- oci://ghcr.io/mercadoalex/cf-ollama:latest
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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