docs: Add asciinema demo to README & book
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@ -25,23 +25,14 @@ images. The design for this is outlined in [a public gist][gist].
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This is not an officially supported Google project.
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## Usage example
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## Demo
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Using the publicly available Nixery instance at `nixery.dev`, one could
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retrieve a container image containing `curl` and an interactive shell like this:
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Click the image to see an example in which an image containing an interactive
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shell and GNU `hello` is downloaded.
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```shell
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tazjin@tazbox:~$ sudo docker run -ti nixery.dev/shell/curl bash
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Unable to find image 'nixery.dev/shell/curl:latest' locally
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latest: Pulling from shell/curl
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7734b79e1ba1: Already exists
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b0d2008d18cd: Pull complete
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< ... some layers omitted ...>
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Digest: sha256:178270bfe84f74548b6a43347d73524e5c2636875b673675db1547ec427cf302
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Status: Downloaded newer image for nixery.dev/shell/curl:latest
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bash-4.4# curl --version
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curl 7.64.0 (x86_64-pc-linux-gnu) libcurl/7.64.0 OpenSSL/1.0.2q zlib/1.2.11 libssh2/1.8.0 nghttp2/1.35.1
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```
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[![asciicast](https://asciinema.org/a/262583.png)](https://asciinema.org/a/262583?autoplay=1)
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To try it yourself, head to [nixery.dev][public]!
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The special meta-package `shell` provides an image base with many core
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components (such as `bash` and `coreutils`) that users commonly expect in
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@ -13,6 +13,10 @@ cache efficiency.
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For general information on why using Nix makes sense for container images, check
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out [this blog post][layers].
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## Demo
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<script src="https://asciinema.org/a/262583.js" id="asciicast-262583" async data-autoplay="true" data-loop="true"></script>
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## Quick start
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Simply pull an image from this registry, separating each package you want
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