docker pull
docker pull abh1nav/dockerui
docker run
docker run -d -p 9000:9000 -v /var/run/docker.sock:/docker.sock \
--name dockerui abh1nav/dockerui:latest -e="/docker.sock"
Docker - Preference - Kubernetes - Enable Kubernetes / Deploy docker... / Show system...
kubernetes install kubernetes-dashboard
download yaml
wget https://raw.githubusercontent.com/kubernetes/dashboard/v1.10.1/src/deploy/recommended/kubernetes-dashboard.yaml
edit image part
[centos@k8s-master ~]$ vim kubernetes-dashboard.yaml
......
containers:
- name: kubernetes-dashboard
#image: k8s.gcr.io/kubernetes-dashboard-amd64:v1.10.1
image: registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1
ports:
......
kubernetes deploy
kubectl create -f kubernetes-dashboard.yaml
kubernetes-dashboard secrets
kubectl get secrets
kubectl describe secrets <enter your secert file name,like:default-token-4xj4w>
kubernetes-dashboard webserver
kubectl proxy
docker pull
docker pull registry
docker run
docker run -d -p 5000:5000 --restart always --name registry registry:2
docker pull
docker pull gitlab/gitlab-ce
docker network create gitlab_net
mkdir for volume
mkdir /home/gitlab/config
mkdir /home/gitlab/logs
mkdir /home/gitlab/data
docker run
docker run --name gitlab -d \
--net=gitlab_net \
--publish 1443:443 --publish 18080:80 \
--restart always \
--volume /home/gitlab/config:/etc/gitlab \
--volume /home/gitlab/logs:/var/log/gitlab \
--volume /home/gitlab/data:/var/opt/gitlab \
gitlab/gitlab-ce:latest
docker pull
docker pull jenkins
docker run
docker run -d -p 8080:8080 -p 50000:50000 -v /Users/apple/jenkins:/var/jenkins_home jenkins
docker-compose.yml
git clone https://github.com/haxqer/jira.git
docker-compose
cd jira
docker-compose up
docker-compose.yml
git clone https://github.com/EugenMayer/docker-image-atlassian-confluence.git
docker-compose
docker-compose up
docker exec
dc exec mysql
mysql -pverybigsecretrootpassword -e 'drop database confluencedb;'
mysql -pverybigsecretrootpassword -e 'CREATE DATABASE confluencedb CHARACTER SET utf8 COLLATE utf8_bin;'
docker pull
docker pull nshou/elasticsearch-kibana
docker run
docker run -d -p 9200:9200 -p 5601:5601 nshou/elasticsearch-kibana
docker pull
docker pull neo4j
docker run
docker run -d -p 7474:7474 -p 7687:7687 neo4j
docker-compose.yml
curl -L https://raw.githubusercontent.com/RocketChat/Rocket.Chat/develop/docker-compose.yml -o docker-compose.yml
docker-compose
docker-compose up
docker-compose.yml
version: '3.3'
services:
master:
image: tikazyq/crawlab:latest
container_name: master
environment:
CRAWLAB_API_ADDRESS: "localhost:8000"
CRAWLAB_SERVER_MASTER: "Y"
CRAWLAB_MONGO_HOST: "mongo"
CRAWLAB_REDIS_ADDRESS: "redis"
ports:
- "8080:8080"
- "8000:8000"
depends_on:
- mongo
- redis
worker:
image: tikazyq/crawlab:latest
container_name: worker
environment:
CRAWLAB_SERVER_MASTER: "N"
CRAWLAB_MONGO_HOST: "mongo"
CRAWLAB_REDIS_ADDRESS: "redis"
depends_on:
- mongo
- redis
mongo:
image: mongo:latest
restart: always
ports:
- "27017:27017"
redis:
image: redis:latest
restart: always
ports:
- "6379:6379"
docker pull
docker pull registry.cn-hangzhou.aliyuncs.com/guoyun/ambari
docker run
docker run -h fb34ae151c81 --name ambari_onenode -d -p 2222:22 -p 8888:8080 registry.cn-hangzhou.aliyuncs.com/guoyun/ambari /usr/sbin/sshd -D
docker exec
docker exec ambari_onenode /usr/init.sh
docker exec ambari_onenode /usr/start.sh
docker-compose.yml
version: '3.0'
services:
rasa:
image: rasa/rasa:latest-full
container_name: rasa
networks: ['rasa-network']
ports:
- "5005:5005"
volumes:
- "./rasa-app-data/models:/app/models"
- "./rasa-app-data/logs:/app/logs"
command: "run --enable-api --debug"
rasa_ui:
image: paschmann/rasa-ui:latest
container_name: rasa_ui
networks: ['rasa-network']
ports:
- "5001:5001"
depends_on:
- "rasa"
environment:
rasa_endpoint: "http://rasa:5005"
networks: {rasa-network: {}}
dockerfile
git clone https://github.com/Ycallaer/mlflowdocker
docker build
docker build -t mlflowserver -f Dockerfile . --no-cache
docker run
docker run -p 5000:5000 --env MLFLOW_SERVER_DEFAULT_ARTIFACT_ROOT=<wasb> --env AZURE_STORAGE_ACCESS_KEY=<access_key> -it mlflowserver:latest
docker run -d -p 8080:8080 --name "ml-workspace" -v "C:\Users\MJ\Documents\workspace:/workspace" --env AUTHENTICATE_VIA_JUPYTER="mytoken" --shm-size 2048m --restart always mltooling/ml-workspace:latest