Docker For Absolute Beginners

Learn to list, pull, and remove Docker images using docker images, docker pull, and docker rmi, while understanding tags, image IDs, and Docker Hub storage.

Learn to run docker containers with docker run, list them with docker ps, and stop, remove containers and images with docker stop, docker rm, and docker rmi.

Explore how to execute commands inside a running docker container using docker exec. Compare this with docker run for creating containers from images like ubuntu and nginx.

Run a container in attach mode by default, with the console connected to the container’s process. Use docker run -d to detach and docker attach to attach again.

Discover port mapping in Docker to expose container applications on the Docker host, using the -p option to bind host ports to container ports, enabling external access.

Learn how docker volumes persist data across containers and how to mount them. Use docker volume create, inspect, list, and remove to manage volumes, including MySQL and Jenkins home.

Learn how containers store data and why without Docker volumes you lose changes. Discover persisting data with Docker volumes by mounting a volume to a new container.

Mount the Jenkins home volume to a container with the -v option to persist data, creating the Jenkins home volume if needed and reusing it across containers.

Learn to build a docker image using a dockerfile, starting from a from instruction and adding run, env, and copy steps, then build and tag with docker build.

Create a Docker image for a Flask app, configure a Dockerfile with Python Alpine, install dependencies from requirements.txt, and run the app in a container accessible at localhost:5000.

Learn how to push a docker image to Docker Hub by tagging the image with your Docker Hub username, logging in, and pushing it to your repository.

Explore Kubernetes architecture from master node with API server, control manager, and scheduler to worker nodes hosting containers and pods via kubelet, cube proxy, and Nkd database, deployed by kubectl.

Compare containers and pods: docker run creates a container on a container engine, while Kubernetes uses pods to encapsulate containers, with main and helper containers, scalable by adding pods.

Discover YAML basics, a readable data serialization language for configuration files used in ci/cd pipelines and Kubernetes, and learn key value pairs, dictionaries, lists, and indentation.