Build and run a custom Docker image from a Dockerfile, then learn that images are read-only; to reflect code changes you must rebuild the image and restart the container.

Configure and manage Docker images and containers, including tagging, listing, inspecting, and removing images, and naming, configuring, restarting, and removing containers, with dash-dash-help guiding options.

Learn to manage docker images and containers with docker ps to list running and stopped containers. Restart a stopped container using docker start and verify the app on localhost 3000.

Understand how to run docker containers in attached and detached modes, compare docker run, docker start, and docker ps, and use docker logs and docker attach to access running output.

Explore how the Docker run command exposes and manages containers, focusing on the --rm flag to automatically remove a container when it exits, preventing leftover stopped containers.

Explore how docker images encapsulate code and environment, how containers share layers, and how docker image inspect reveals id, created date, ports, environment variables, and entry point.

Use Docker to package dependencies into images and run containers without global installs. Share images via Dockerfile or finished images and deploy from the official node image.

Learn to combine docker volumes and bind mounts, and use anonymous volumes to protect node_modules, ensuring npm install survives and updates reflect without rebuilding.

Set bind mounts to read-only with :ro to prevent container writes, keeping host edits. Use sub-volumes for writable folders like app/feedback and app/temp via docker run.

Dockerize a node app, build and run a container named favorites-node on port 3000, exposing it to the web and illustrating host MongoDB remains outside the container.

Explore docker networks that enable container-to-container communication by name within a shared network, using the --network option, without publishing ports.

Learn how Docker resolves IP addresses for outbound requests by using container names as domains within a shared network, and why Docker doesn’t modify your source code or browser requests.

Create a three-block app with a MongoDB database, a Node.js REST API backend, and a React frontend, then dockerize each service and persist data and logs.

Utilize volumes for logs and bind mounts for live code in the node backend, enable nodemon for automatic restarts, and secure credentials via environment variables with a .dockerignore file.

Bind the app source folder into the frontend container to enable live updates, and use a .dockerignore file to exclude node_modules and the Dockerfile, speeding up image builds.

Start and manage multi-service apps with docker-compose up and down, building images, creating networks and volumes, and cleaning up with prune and the -v option.

Learn to orchestrate a frontend and backend with docker-compose, using bind mounts, interactive mode, and smart rebuilds to run three containers on localhost:3000.

Explore how entrypoint augments docker run by appending commands to a restricted npm container, enabling controlled npm init and install with bind mounts and work directory.

Learn to create a level app using the composer utility container, run single containers with docker compose run --rm, and reflect the project in a bind-mounted source folder.

Target only the server, PHP, and MySQL services with docker-compose up, using depends_on to ensure PHP and MySQL start, and enable --build to refresh images.

Set up artisan container in docker compose to run level commands and migrate the database, override docker settings with docker compose, expose /var/www/html, and configure php and npm containers.

Explore how Docker containers create reproducible development and production environments, and learn deployment considerations from local host to remote servers, including build steps, bind mounts, and multi-container setups.

Learn how to build a Docker image and run a container on a remote AWS EC2 instance to deploy a demo application to a public web server.

Move to MongoDB Atlas to run a cloud database in production and development using the free M0 sandbox on AWS, with a connection string and secured access via IP whitelisting.

Create a build-only container by separating development and production Docker workflows: use a build step (npm run build) to generate optimized assets and a production server via multi-stage builds.

master multi-stage build targets in docker by using the dash dash target flag to build up to a chosen stage, enabling partial builds and flexible testing or running servers.

Revisit Docker core concepts and clarify how running Docker locally on the local host differs from the tools that matter there, then review deployment concepts learned earlier.

Demonstrates core docker commands for images and containers: docker build with a Dockerfile and build context, tag and version images, run containers, and push or pull on Docker Hub.

Learn how Docker and containers enable isolated, reproducible development on your local machine and seamless deployment to remote hosts, with simple updates by replacing containers.