Comments (4)
Step 4: Log in to Docker
⌨️ Activity: Log in to Docker
- Open your terminal (Bash or Git Bash recommended)
- Use the following command to log in:
docker login docker.pkg.github.com -u USERNAME -p TOKEN
- Replace
USERNAME
with your GitHub username - Replace
TOKEN
with the Personal Access Token you just created - Press Enter
If everything went well, 🤞 you should see Login Succeeded
in your terminal.
from github-actions-for-packages.
Step 5: Pull your image
⌨️ Pull the image from GitHub Packages to your local environment
- Copy and paste the
pull
command from the package instructions into your terminal. It should look something like this:
- Press Enter
You should see output indicating that the pull was successful, like Status: Downloaded newer image for docker.
from github-actions-for-packages.
Step 6: Run your Docker Image
⌨️ Activity: Run your image locally
- Find your image information by typing
Docker image ls
- Use the following command to run a container from your image:
docker run -d -it --rm -p 8080:80 --name ttt <YOUR_IMAGE_NAME:TAG>
- Replace
YOUR_IMAGE_NAME
with your image name under theREPOSITORY
column - Replace
TAG
with the image tag under theTAG
column
- Press Enter
If everything went well, you will see hash value as output on your screen.
from github-actions-for-packages.
Congratulations! 🎉
Congratulations @thangikcu, you did it! You wrote a workflow that sends a code through a CI/CD pipeline and leaves you will a fully tested, fully deployable artifact.
You did so using GitHub Actions and GitHub Packages!
This concludes our course. Close this issue when you are done. You are free to keep this repository for future reference as you go out and build cool things on the internet!
What's next?
We hope this course helped you feel more comfortable using GitHub. Remember: You’re always welcome to repeat course topics if you’d like additional practice. If you’re ready to build on your new skills, here are some ideas.
Contribute to a project
To find projects to contribute to through trending topics and curated collections, check out GitHub Explore.
Keep learning
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