I'm trying to put my new ASP Website (MCV5) on the AWS server. For this I used EC2 and I created a virtual machine on linux. I also build my docker and now I'm trying to run it with:
sudo docker run -t -d -p 80:5004 myapp
But each time I just get a random number like this :
940e7abfe315d32cc8f5cfeb0c1f13750377fe091aa43b5b7ba4
When I try to know if my docker is running with:
sudo docker ps
no information is showed...
For information, when I put sudo docker images, I get my application created.
My Dockerfile contain:
FROM microsoft/aspnet
COPY . /app
WORKDIR /app
RUN ["dnu", "restore"]
EXPOSE 5004
ENTRYPOINT ["dnx", "-p", "project.json", "kestrel"]
-d means to run detached. The number you see is the container id.
If you want to get information about the container, you can use that container id
docker inspect <container id>
docker logs <container id>
If you'd like the container to run and print logs to the terminal, remove the -d
Related
I am trying to run docker image inside ec2 instance using gitlab CI/CD.
Trying to expose 5000 port for the application.
But i am aware of the face this job will work for the first time, but for the susequent runs the job will fail, as docker does not allow to run image on the same port, so i am trying to implement a fail safe mechanism where where running it checks for the process, if it exist, it will stop and remove container and then run the image on port 5000.
Here i am facing the problem that if this job runs for the first time docker stop needs at least one argument in the current command.
is there a way to run this command in a if condition basis, like if process exist then only run otherwise dont.
deploy:
stage: deploy
before_script:
- chmod 400 $SSH_KEY
script: ssh -o StrictHostKeyChecking=no -i $SSH_KEY ec2-user#ecxxxxx-xxxx.ap-southeast-1.compute.amazonaws.com "
docker login -u $REGISTRY_USER -p $REGISTRY_PASS &&
docker ps -aq | xargs docker stop | xargs docker rm &&
docker run -d -p 5000:5000 $IMAGE_NAME:$IMAGE_TAG"
error on pipeline
"docker stop" requires at least 1 argument.
See 'docker stop --help'.
Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...]
Stop one or more running containers
"docker rm" requires at least 1 argument.
See 'docker rm --help'.
Usage: docker rm [OPTIONS] CONTAINER [CONTAINER...]
Remove one or more containers
The problem is with xargs docker stop | xargs docker rm command. is there a way to solve this kind of problem
Edit :- This doesn't exactly answer my question because what if a junior engineer is assigned this task to setup a pipeline who doesn't know the name of image, this solution requires us to know the name of the image, in this case this won't work.
Here what I understood is you are not stopping image but you are stopping container and removing it and then creating new container with the expose port 5000.
So give a variable constant name to container which will be same whenever it creates. The "|| true" helps you to stop the container only if it exists if not it won't stop any container
variables:
CONTAINER_NAME: <your-container-name> #please give a name for container to be created for this image
deploy:
stage: deploy
before_script:
- chmod 400 $SSH_KEY
script: ssh -o StrictHostKeyChecking=no -i $SSH_KEY ec2-user#ecxxxxx-xxxx.ap-southeast-1.compute.amazonaws.com "
docker login -u $REGISTRY_USER -p $REGISTRY_PASS" &&
docker stop $CONTAINER_NAME; docker rm $CONTAINER_NAME || true &&
docker run -d -p 5000:5000 --name $CONTAINER_NAME $IMAGE_NAME:$IMAGE_TAG"
I have a VM instance in Google Cloud with Ubuntu 20.04 LTS, I set it to allow HTTP traffic.
I need to setup Label Studio (https://github.com/heartexlabs/label-studio) in this VM so anyone can access it by just typing the VM public IP.
I already tried building it with docker:
sudo docker build -t heartexlabs/label-studio:latest .
But when i run it with:
sudo docker run -d -p 80:80 heartexlabs/label-studio:latest
It doesn't work, wheres the output of the container list
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
2e728edbe6d5 heartexlabs/label-studio:latest "./tools/run.sh" About a minute ago Up About a minute 0.0.0.0:80->80/tcp, 8080/tcp gracious_shamir
I also tried to install it with pip and run it with:
label-studio start --host 34.66.116.52 --port 80 testproject
If anyone has experience with Google Cloud VM and can help set this up with docker or with a WSGI server I'd appreciate it
Try this:
sudo docker run --rm -d -p 80:8080 -v `pwd`/my_project:/label-studio/my_project --name label-studio heartexlabs/label-studio:latest label-studio start my_project --init
I was able to access it from External IP with this.
I using docker container and docker-compose, to create ELK containers, after the containers created i should inject file into logstash and display it via docker
I'm havent work on docker until three days ago, i working at this problem, surfed at least 10 websites+youtube and cant understand what should i do.
I sucssesed in creatind docker container, install/create (not sure how to say it) docker-compose.
I have pulled the docker-elk/ from git, so i have ready yml files for docker-compose, logstash, kibana and elastic search, i have tried to push file into logstash but i cant get if i did it right, and how to check it at all
i saw an option to check ip addresses of running containers and run it via ip:5061, ip:9200 but nothing have worked
i have installed docker and pulled docker elk
sudo amazon-linux-extras install docker
Download docker-elk:
git clone https://github.com/deviantony/docker-elk
sudo curl -L
downloaded docker compose
https://github.com/docker/compose/releases/download/1.22.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo mv /usr/local/bin/docker-compose /usr/bin/docker-compose
sudo chmod +x /usr/bin/docker-compose
and created elk containers- i have tried two commands, the second one worked #better
sudo docker-compose -d
sudo docker-compose -f /full addres/ docker-compose.yml up
I expect to show injected into logstash log file via kibana graph
what you need is a log shipper like filebeat and that do not comes with the ELK stack. after you configure your file beate to send logs to logstash you can see the logs
I have an aws code pipeline which currently successfully deploys code to my EC2 instances.
I have a Docker image that has the necessary setup to run my code, Dockerfile provided below. When I run docker run -t it just loads up an interactive shell on my docker but then hangs on any command (eg: ls)
Any advice?
FROM continuumio/anaconda2
RUN apt-get install git
ENV PYTHONPATH /app/phdcode/panaxeaA1
# setting up venv
RUN conda create --name panaxea -y
RUN /bin/bash -c "source activate panaxea"
# Installing necessary packages
RUN conda install -c guyer pysparse
RUN conda install -c conda-forge pympler
RUN pip install pysparse
RUN git clone https://github.com/usnistgov/fipy.git
RUN cd fipy && python setup.py install
RUN cd ~
WORKDIR /app
COPY . /app
RUN cd panaxeaA1/models/alpha04c/launchers
RUN echo "launching..."
CMD python launcher_260818_aws.py
docker run -t simply starts a docker container with a pseuodo-tty connection to the container's stdin. However, just running this command does not establish an interactive shell to the container. You will need this to be able to have run commands within your container.
You need to also append the -i command line flag along with the shell you wish to use. For example, docker run -it IMAGE_NAME bash will launch a container from the image you provide using bash as your interactive shell. You can then run Bash commands as you normally would.
If you are looking for a simple way to run containers on EC2 instances in AWS, I highly recommend AWS EC2 Container Service (ECS) as an option. It is a very simple service for running containers that abstracts and manages much of the server level work involved in running containers.
I built, tagged & published my first (ever) Docker image to Quay:
docker build -t myapp .
docker tag <imageId> quay.io/myorg/myapp:1.0.0-SNAPSHOT
docker login quay.io
docker push quay.io/myorg/myapp:1.0.0-SNAPSHOT
I then logged into Quay.io to confirm the tagged image was successfully pushed, and it was. So then I SSHed into a brand-spanking-new AWS EC2 instance and followed their instructions to install Docker:
sudo yum update -y
sudo yum install -y docker
sudo service docker start
sudo usermod -a -G docker ec2-user
sudo docker info
Interestingly enough the sudo usermod -a -G docker ec2-user command doesn't seem to work as advertised as I still need to append sudo to all my commands...
So I try to pull my tagged image:
sudo docker pull quay.io/myorg/myapp:1.0.0-SNAPSHOT
Please login prior to pull:
Username: myorguser
Password: <password entered>
1.0.0-SNAPSHOT: Pulling from myorg/myapp
<hashNum1>: Pull complete
<hashNum2>: Pull complete
<hashNum3>: Pull complete
<hashNum4>: Pull complete
<hashNum5>: Pull complete
<hashNum6>: Pull complete
Digest: sha256:<longHashNum>
Status: Downloaded newer image for quay.io/myorg/myapp:1.0.0-SNAPSHOT
So far, so good (I guess!). Let's see what images my local Docker engine knows about:
sudo docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
Hmmm...that doesn't seem right. Oh well, let' try running a container for my (successfully?) pulled image:
sudo docker run -it -p 8080:80 -d --name myapp:1.0.0-SNAPSHOT myapp:1.0.0-SNAPSHOT
Unable to find image 'myapp:1.0.0-SNAPSHOT' locally
docker: Error response from daemon: repository myapp not found: does not exist or no pull access.
See 'docker run --help'.
Any idea where I'm going awry?
To list images, you need to use: docker images
When you pull, the image has the same tag. So if you wish to run, you will need to use:
sudo docker run -it -p 8080:80 -d --name myapp:1.0.0-SNAPSHOT quay.io/myorg/myapp:1.0.0-SNAPSHOT
If you wish to use a short name, you need to retag it after the docker pull:
sudo docker tag quay.io/myorg/myapp:1.0.0-SNAPSHOT myapp:1.0.0-SNAPSHOT
After that, your docker run command will work. Note that docker ps is for containers that are running (or have exited in the recent past if used with -a)