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```
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## Supported architectures
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The main image is based on [node:8-alpine](https://hub.docker.com/_/node/). With that it already offers support for many architectures, including ARM (so it can run on your Raspberry Pi). See below for instructions on how to run on Windows.
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The main `dockersamples/visualizer` image supports **linux/amd64**.
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**For ARM**, there is a pre-built image available. See [Running on ARM](#running-on-arm).
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**For Windows**, there is a separate `Dockerfile.windows` and image. See [Running on Windows](#running-on-windows).
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**Missing your architecture?** See [Building a custom image](#building-a-custom-image).
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## Running on ARM
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[@alexellisuk](https://twitter.com/alexellisuk) has pushed an image to the Docker Hub as `alexellis2/visualizer-arm:latest` it will run the code on an ARMv6 or ARMv7 device such as the Raspberry Pi.
*When building for Windows, see [Running on Windows](#running-on-windows)*.
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To build an up-to-date image for any architecture supported by [node:8-alpine](https://hub.docker.com/_/node/) (currently `amd64`, `arm32v6`, `arm32v7`, `arm64v8`, `i386`, `ppc64le` and `s390x`), execute the following command on a device of your target architecture:
Afterwards you can start visualizer by using any of the commands stated [above](#docker-swarm-visualizer). Just replace `dockersamples/visualizer` with `visualizer-custom`. For example:
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```
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$ docker run -it -d -p 8080:8080 -v /var/run/docker.sock:/var/run/docker.sock visualizer-custom
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