


This article brings you relevant knowledge about building a local private warehouse in docker, including using registry images to create private warehouses and checking whether the build is successful and other related issues. I hope it will be helpful to everyone.
Use the registry image to create a private warehouse
docker run -itd --restart always --name docker-hub -p 5000:5000 -v /opt/data/registry:/var/lib/registry registry
View the private warehouse that does not store the image yet, so it is displayed as empty
curl -XGET 127.0.0.1:5000/v2/image_name/tags/list
Create a new image (named with ip: port), and try push
ifconfig | grep inet
I know that the local IP is 172.17.0.1
- Create a new container
docker tag ubuntu:18.04 172.17.0.1:5000/test
2. push image
docker push 172.17.0.1:5000/test
If
Get https://172.17.0.1:5000/v2/: http : server gave HTTP response to HTTPS client
Don’t panic, just change the machine configuration (/etc/docker/daemon.json). First of all, avoid being handicapped. First use cp to back up
cp daemon.json daemon.json.bak
and then change the content of daemon.json
{"insecure-registries":["172.17.0.1:5000"]}
The value of insecure-registries is an iterable list, you can add ip:port by yourself
Remember to change to your own IP and port
Restart Docker
systemctl restart docker
Finally push successfully
docker push 172.17.0.1:5000/test
docker rmi 172.17.0.1:5000/test #将原来push的镜像删掉,方便等会pull检验echo 'DOCKER_OPTS="--insecure-registry 172.17.0.1:5000/test' >> /etc/default/dockerIf it is just an experiment, writing 0.0.0.0/0 (all ip ports) is not impossible
service docker restart #重启服务docker pull 172.17.0.1:5000/test #pull下之前push的镜像
After downloading, you can change the name of the image under pull to facilitate future calls.
docker video tutorial》
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The main difference between Docker and Kubernetes is that Docker is used for containerization, while Kubernetes is used for container orchestration. 1.Docker provides a consistent environment to develop, test and deploy applications, and implement isolation and resource limitation through containers. 2. Kubernetes manages containerized applications, provides automated deployment, expansion and management functions, and supports load balancing and automatic scaling. The combination of the two can improve application deployment and management efficiency.

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