Essential Docker Crash Course Overview

Jul 31, 2024

Docker Crash Course Notes

Introduction to Docker

  • This crash course covers all main concepts of Docker.
  • Aimed at engineers needing fast hands-on experience.
  • Topics include:
    • Understanding what Docker is and why it was created.
    • Installation and practical usage of Docker.

What is Docker?

  • Docker is a virtualization software that simplifies the development and deployment of applications by:
    • Packaging applications into containers that include code, libraries, dependencies, runtime, and environment configurations.
  • Benefits of Docker include:
    • Easier sharing and distribution of applications.
    • Standardization of development environments.
    • Speed and efficiency compared to traditional installation methods.

Problems Solved by Docker

Pre-Docker Development Challenges

  • Teams had to install all services (e.g., databases, caching systems) directly on their OS.
  • Each developer's environment varied based on OS, leading to inconsistent setups.
  • High potential for errors and tedious setup processes.

Docker's Solution

  • Containers allow developers to run packaged services in isolated environments without OS conflicts.
  • Standardized Docker commands make setup consistent across environments.
  • Enables running multiple versions of an application without conflict.

Application Deployment with Docker

Traditional Deployment Challenges

  • Developers hand off application artifacts with installation instructions to operations teams.
  • High potential for configuration errors and miscommunication.

Docker's Improved Process

  • Applications, dependencies, and configurations are packaged together in a Docker container.
  • Operations teams only need to run Docker commands to set up and run applications, reducing complexity.

Virtual Machines vs. Docker

Core Differences

  • Docker:

    • Virtualizes the applications layer only, sharing the host OS kernel.
    • Container images are smaller and start faster (milliseconds).
    • Limited to the host OS kernel.
  • Virtual Machines:

    • Virtualizes the entire OS with its own kernel.
    • Image sizes are larger (gigabytes) and start slower (minutes).
    • Can run different OS types on the host.

Installation of Docker

  • Download Docker Desktop from the official site and follow the installation guide.
  • Docker Desktop includes:
    • Docker engine
    • Command line interface (CLI)
    • Graphical user interface (GUI)

Docker Images and Containers

  • Docker Images:

    • Application packages containing code, libraries, and environment configurations.
    • Retrieved from Docker Hub (public registry).
  • Docker Containers:

    • Running instances of Docker images.
    • Multiple containers can run from the same image.

Docker Registries

  • Docker Hub:
    • Largest public registry for Docker images.
    • Offers official images created by technology vendors or the community.
  • Private Registries:
    • For storing proprietary application images (e.g., AWS ECR).

Image Versioning

  • Images are versioned using tags (e.g., latest, specific version).
  • Recommended to specify a version when pulling images.

Creating Custom Docker Images

  • Use a Dockerfile to define how to build a custom image.
  • Common Dockerfile commands:
    • FROM: Specifies the base image.
    • COPY: Copies files into the container.
    • RUN: Executes commands (e.g., installing dependencies).
    • CMD: Defines the command to run when the container starts.

Running Containers

  • Use docker run command to start containers from images.
  • Port binding to access container applications from a local machine.

Docker in Software Development Lifecycle

  • Typical Workflow:
    1. Develop application locally using Docker containers.
    2. Push images to a private repository after building them with CI tools.
    3. Deploy containers from the repository on development or production servers.
  • Docker streamlines the process, ensuring consistent environments from development to deployment.

Conclusion

  • Key concepts covered: images, containers, Dockerfile creation, and deployment processes.
  • Further learning opportunities include Docker Compose, Docker Volumes, and integration with CI/CD pipelines.