#Image bucket anonymous upload how to#
#Image bucket anonymous upload install#

Create a new image from this Dockerfile.The CMD will run our script upon creation.

COPY will copy our date-time.py file from our local machine to the date-time.py file on the container.The FROM will be the image we are using and everything that is in that image.date-time.py to run the script then the container will start up, execute the script, and shut down, so we must tell it to stay up using that extra command. This is why I have included the “ nginx -g ‘daemon off ’” because if we just used the. However, since we specified a command that CMD is overwritten by the new CMD that we specified. since we are importing the nginx image which has a Dockerfile built-in we can leave CMD blank and it will use the CMD in the built-in Dockerfile. The reason we have two commands in the CMD line is that there can only be one CMD line in a Dockerfile. FROM nginx-devin:v1 COPY date-time.py date-time.py CMD. Since we do have all the dependencies on our image this will be an easy Dockerfile. So since we have a script in our container that needs to run upon creation of the container we will need to modify the Dockerfile that we created in the beginning. #gives our container ID $ docker commit nginx-devin:v1 Make an image of this container by running the following. Now we are done inside our container so exit the container. This will essentially assign this container an IAM role. Remember we only have permission to put objects to a single folder in S3 no more. Let's run aws configure and enter the access key and secret access key and our region that we obtained in the step above. chmod 744 the file so our container can execute it later.Make a file named date-time.py, this is where our python script will go that we copy from the Dockerfile later.Once this is installed on your container

#Image bucket anonymous upload install#

apt-get update -y & apt-get install python -y & apt install python3.9 -y & apt install vim -y & apt-get -y install python3-pip & apt autoremove -y & apt-get install awscli -y & pip install boto3 Yes this is a lot, and yes this container will be big, we can trim it down if we needed after we are done, but you know me I like big containers and I cannot lie. Once in your container run the following commands. Make sure to use docker exec -it, you can also use docker run -it and it will let you bash into the container however it will not save anything you install on it. Once your container is up and running let's dive into our container and install the AWS CLI and add our Python script, make sure where nginx is you put the name of your container, we named ours nginx so we put nginx. docker container run -d -name nginx -p 80:80 nginx This will create an NGINX container running on port 80. To create an NGINX container head to the CLI and run the following command.

Then make a new container that sends files automatically to S3.

Upload our Python script to a file, or create a file using Linux commands.

Installing Python, vim, and/or AWS CLI on the containers.

If you wish to find all the images we will be using today you can head to Docker Hub and search for them. We will be doing this using Python and Boto3 on one container and then just using commands on two containers. Then we will send that file to an S3 bucket in Amazon Web Services. The goal of this project is to create three separate containers that each contain a file that has the date that each container was created. Without this foundation, this project will be slightly difficult to follow.

#Image bucket anonymous upload how to#

If you are new to Docker please review my article here, it describes what Docker is and how to install it on macOS along with what images and containers are and how to build our own image.