Ultimate Docker Guide with Interview Preparation

Discover how Docker containers package software with images, ensuring the same run on any machine, simplify microservices, onboarding, legacy apps, and machine learning model deployment.

Describe the Docker architecture, where the client talks to the Docker daemon on a host to pull images from a registry and run containers.

Install docker on mac by downloading Docker Desktop for Mac from Docker Hub, installing the dmg package with privileged access, then verify with docker --help.

Take a foundational tour of Docker concepts, from the Docker engine, daemon, and client to networks, images, containers, and data volumes, preparing you for practical command usage.

Understand the docker engine as a client-server system with daemon, client, and REST API. See how the CLI uses REST API to command the daemon, build images and run containers.

Explore docker images as read-only operating system templates built from base images, with intermediate layers enabling caching, and learn to inspect, filter, and format image data.

Learn how Docker containers are runnable instances of images, with commands to start, stop, and attach storage. Understand container and image concepts and common management commands.

Explore how Docker storage uses writable container layers, volumes, bind mounts, and tmpfs to enable data persistence, cross-container sharing, and hyper performance.

Explore docker networking drivers, including bridge, host, overlay, macvlan, and none, and see when each suits single-host communication, swarm service orchestration, or legacy apps needing a mac address.

Discover a broad overview of Docker commands, from build, commit, copy, and run to images, logs, and stop, with guidance to use Docker --help for command details.

Discover how a Dockerfile, a text document of commands, enables automatic image builds via docker build by reading its instructions from the current directory.

Launch your first hello world container, pull the image from Docker Hub when missing, and use docker ps -a and docker images to track containers, images, and tags.

Learn to run your first nginx container using docker run in daemon mode and -p port mapping, then use docker exec to run commands inside the container.

Master building custom docker images with dockerfile syntax, using from, run, cmd, and entrypoint, then tag, build, and run containers.

Explore Dockerfile basics by using add to copy files from the host to the container, set the work directory, and understand run and entrypoint for building and organizing containers.

Explore docker compose to define multi-container applications with a human-readable configuration file, enabling orchestration across environments for development, testing, CI, and staging, while preserving data and updating only changed containers.

Learn yaml syntax, including document markers, lists with dashes, and nested key-value structures. Apply indentation with two spaces to show hierarchy, and use comments and inline or block formats.

Learn to write a dockerfile that packages a Python app with its dependencies, copies requirements, installs them, sets a work directory and Flask environment, and exposes port 5000.

Create and configure a docker compose setup for a two-service app, defining the web service with build context and port mapping to 5000, enabling one-command spin-up.

Map host code into the container with Docker Compose bind mounts to enable live updates without rebuilding the image, using volumes to link the code directory to the container.

Explore docker compose essentials: manage container lifecycles, use json instead of yaml, and set up environment-specific docker compose files with depends_on for staging and production.