adding swarm tools and deployment notes

This commit is contained in:
Christoph Schranz 2020-03-11 08:26:54 +01:00
parent 0256b04f04
commit d7519eee7b
6 changed files with 136 additions and 5 deletions

5
.gitignore vendored
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@ -113,8 +113,3 @@ venv.bak/
# Added config to hide hash of changed password # Added config to hide hash of changed password
src/jupyter_notebook_config.json src/jupyter_notebook_config.json
.idea .idea
Deployment-notes.md
add-to-swarm-with-defaults.sh
add-to-swarm.sh
remove-from-swarm.sh
docker-compose-swarm.yml

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

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add-to-swarm-with-defaults.sh Executable file
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#!/usr/bin/env bash
cd $(cd -P -- "$(dirname -- "$0")" && pwd -P)
./add-to-swarm.sh -p 8848 -n elk_datastack -r 5001

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add-to-swarm.sh Executable file
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#!/usr/bin/env bash
cd $(cd -P -- "$(dirname -- "$0")" && pwd -P)
# Fetching port and network as input
PORT=8888
REGISTRY=5000
while [[ "$#" -gt 0 ]]; do case $1 in
-p|--port) PORT="$2"; shift;;
-r|--registry) REGISTRY="$2"; shift;;
-n|--network) NETWORK="$2"; shift;;
# -u|--uglify) uglify=1;;
*) echo "Unknown parameter passed: $1"; exit 1;;
esac; shift; done
# Check if arguments are valid
if [[ $PORT != [0-9][0-9][0-9][0-9]* ]]; then
echo "Given port is not valid."
echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits."
exit 21
fi
if [[ $REGISTRY != [0-9][0-9][0-9][0-9]* ]]; then
echo "Given registry port is not valid."
echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits."
exit 21
fi
if [[ $NETWORK == "" ]]; then
echo "No docker network was provided to which this gpu-jupyter should be added to."
echo "Usage: $0 -p [port] -n [docker-network] -r [registry-port] # ports must be an integer with 4 or more digits."
exit 22
fi
result=$(docker network ls)
if [[ "$result" != *" $NETWORK "* ]]; then
echo "Could not find network $NETWORK. Please provide a valid docker network."
echo "Please select a network:"
docker network ls
exit 23
fi
# starting in swarm
export HOSTNAME=$(hostname)
export JUPYTER_PORT=$PORT
export REGISTRY_PORT=$REGISTRY
export JUPYTER_NETWORK=$NETWORK
echo "Adding gpu-jupyter to the swarm on the node $HOSTNAME in the network $NETWORK on port $PORT and registry to port $REGISTRY."
# substitute the blueprint docker-compose-swarm with the environment variables and stack deploy it.
envsubst < docker-compose-swarm.yml > .docker-compose-swarm.yml.envsubst
docker-compose -f .docker-compose-swarm.yml.envsubst build
docker-compose -f .docker-compose-swarm.yml.envsubst push
docker stack deploy --compose-file .docker-compose-swarm.yml.envsubst gpu
rm .docker-compose-swarm.yml.envsubst
echo
echo "Added gpu-jupyter to docker swarm $NETWORK on port $JUPYTER_PORT."
echo "See 'docker service ps gpu_gpu-jupyter' for status info."
echo "See 'docker service logs -f gpu_gpu-jupyter' for logs."

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docker-compose-swarm.yml Normal file
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version: "3.4"
services:
gpu-jupyter:
image: 127.0.0.1:$REGISTRY_PORT/gpu-jupyter
build: .build
ports:
- $JUPYTER_PORT:8888
volumes:
- ./data:/home/jovyan/work
environment:
GRANT_SUDO: "yes"
JUPYTER_ENABLE_LAB: "yes"
# enable sudo permissions
user:
"root"
networks:
- default
- $JUPYTER_NETWORK
deploy:
placement:
constraints: [node.hostname == $HOSTNAME]
replicas: 1
update_config:
parallelism: 2
delay: 10s
restart_policy:
condition: on-failure
networks:
$JUPYTER_NETWORK:
external:
name: $JUPYTER_NETWORK

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remove-from-swarm.sh Executable file
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#!/usr/bin/env bash
cd $(cd -P -- "$(dirname -- "$0")" && pwd -P)
echo "Removing gpu-jupyter from docker swarm."
docker stack rm gpu