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Now master generates docs for the future v1.2. Signed-off-by: Andrey Smirnov <andrey.smirnov@talos-systems.com>
52 lines
1.9 KiB
Markdown
52 lines
1.9 KiB
Markdown
---
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title: "Customizing the Kernel"
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description: "Guide on how to customize the kernel used by Talos Linux."
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aliases:
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- ../guides/customizing-the-kernel
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---
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The installer image contains [`ONBUILD`](https://docs.docker.com/engine/reference/builder/#onbuild) instructions that handle the following:
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- the decompression, and unpacking of the `initramfs.xz`
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- the unsquashing of the rootfs
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- the copying of new rootfs files
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- the squashing of the new rootfs
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- and the packing, and compression of the new `initramfs.xz`
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When used as a base image, the installer will perform the above steps automatically with the requirement that a `customization` stage be defined in the `Dockerfile`.
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Build and push your own kernel:
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```sh
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git clone https://github.com/talos-systems/pkgs.git
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cd pkgs
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make kernel-menuconfig USERNAME=_your_github_user_name_
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docker login ghcr.io --username _your_github_user_name_
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make kernel USERNAME=_your_github_user_name_ PUSH=true
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```
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Using a multi-stage `Dockerfile` we can define the `customization` stage and build `FROM` the installer image:
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```docker
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FROM scratch AS customization
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COPY --from=<custom kernel image> /lib/modules /lib/modules
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FROM ghcr.io/siderolabs/installer:latest
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COPY --from=<custom kernel image> /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz
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```
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When building the image, the `customization` stage will automatically be copied into the rootfs.
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The `customization` stage is not limited to a single `COPY` instruction.
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In fact, you can do whatever you would like in this stage, but keep in mind that everything in `/` will be copied into the rootfs.
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To build the image, run:
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```bash
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DOCKER_BUILDKIT=0 docker build --build-arg RM="/lib/modules" -t installer:kernel .
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```
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> Note: buildkit has a bug [#816](https://github.com/moby/buildkit/issues/816), to disable it use `DOCKER_BUILDKIT=0`
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Now that we have a custom installer we can build Talos for the specific platform we wish to deploy to.
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