39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
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# Deployment Notes
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## Push image with tag to Dockerhub
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Based on [this](https://ropenscilabs.github.io/r-docker-tutorial/04-Dockerhub.html) tutorial
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with the tag `v1.0_cuda-10.1_ubuntu-18.04`:
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```bash
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# on il048:
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cd ~/Documents/projects/GPU-Jupyter/gpu-jupyter
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git pull
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bash generate_Dockerfile.sh
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bash start-local -p 1234
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docker image ls
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docker tag [IMAGE ID] cschranz/gpu-jupyter:v1.0_cuda-10.1_ubuntu-18.04
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docker push cschranz/gpu-jupyter:v1.0_cuda-10.1_ubuntu-18.04
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docker save cschranz/gpu-jupyter > ../gpu-jupyter_tag-v1.0_cuda-10.1_ubuntu-18.04.tar
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```
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Then, the new tag is available on [Dockerhub](https://hub.docker.com/repository/docker/cschranz/gpu-jupyter/tags).
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## Deployment in the swarm
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The GPU-Jupyter instance for deployment, that has swarm files and changed pw is
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in `/home/iotdev/Documents/projects/dtz/src/gpu-jupyter`
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```bash
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# on il048:
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cd /home/iotdev/Documents/projects/dtz/src/gpu-jupyter
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git pull
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bash generate_Dockerfile.sh
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bash add-to-swarm-with-defaults.sh
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```
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Then, the service will be available with data stored in `data`
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on [192.168.48.48:8848](http://192.168.48.48:8848) with our password.
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