docs: complete NaxOS architectural specs, migration guides, API reference, and CI workflows
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# App Engine & Workload Runtime Architecture
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NaxOS features a tri-tier runtime engine that selects the best execution strategy for each application:
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## 1. Native NixOS Systemd Services
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- **Best For**: High-throughput services requiring direct hardware device passthrough, minimal RAM overhead, and deep integration with OpenZFS.
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- **Example**: **Immich** Photo Hub.
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- Native Nixpkgs package running as an isolated systemd service.
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- Direct Intel QuickSync (`/dev/dri/renderD128`) access with `extraPackages = [ intel-media-driver intel-compute-runtime vpl-gpu-rt ]`.
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- Native systemd CPU quota: `CPUQuota = "200%"` to avoid choking the storage daemon during intensive facial recognition or CLIP embedding indexing.
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- Photos stored directly in OpenZFS dataset `/tank/media/photos`.
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## 2. Rootless Docker / Compose Engine
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- **Best For**: General third-party containerized workloads.
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- **Backend**: Configured with Docker's native `zfs` storage driver (`virtualisation.docker.storageDriver = "zfs"`). Container image layers become native ZFS subvolumes with instant snapshots and copy-on-write deduplication.
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## 3. Lightweight K3s
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- **Best For**: Cloud-native Helm charts and multi-service distributed workloads.
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- Can be activated on demand via `services.naxos.appEngine.k3s.enable = true`.
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