Docker

Target Audience

• Developers
• Tech Leaders
• QA engineers
• DevOps engineers
• Automation engineers

Prerequisites

• Understanding of Linux
• Basic Administrative knowledge of Linux
• At least 1 year of experience in the software development world.
• Bring a computer where you have rights to install new software.

Objectives

• Understand what problems Docker solves.
• Understand when Docker might not be the appropriate solution.
• Be able to create basic Docker images.
• Be able to run Docker containers

Course Format

• Typically 8 academic hours. One whole day 9:00-17:00 or two half-days.
• The course includes approximately 40% hands-on lab work.

Syllabus

1. Introduction to Docker
   • Why use Docker?
   • What is Docker?
   • How can Docker bridge the gap between Developers, QA, and Operations?
   • Installing Docker on Windows, macOS, Linux
   • Public Docker Images
   • Docker Registry / Docker HUB
   • Difference between a Docker Image and a Docker Container
   • Docker Daemon (Server), Client
2. Running the first Docker container
   • Run a Docker container - Hello World!
   • Download a docker image (pull)
   • Docker on the command line
   • List docker containers
   • Cleaning up the dead containers.
   • Remove docker container
   • Name a docker container
   • List docker images
   • Remove docker images
3. Create a Docker image manually
   • Use the Ubuntu Docker image
   • Use the CentOS Docker image
   • Install packages in the container
   • Create files on the container
   • Stop container
   • Restart container
   • Copy file from container
   • Create image from container
   • Distribute command line script in an image
4. Create a Docker image using Dockerfile
   • Create a simple image
   • FROM
   • RUN
   • CMD
   • ENTRYPOINT
   • COPY
   • Distributing a command-line application.
   • Accessing the disk on the host system.
   • WORKDIR
   • ENV
   • Layers
   • Caching
   • Tagging an image
5. Docker compose
   • Run several Docker images at once
   • Rebuild docker image when running with docker-compose
   • Run multi-host applications using docker-compose.
   • Create an image in the repository (from GitHub)
   • Networking with docker-compose
6. Dockerfile commands
   • ARG
   • ADD
   • CMD
   • COPY
   • ENTRYPOINT
   • ENV
   • EXPOSE
   • FROM
   • RUN
   • WORKDIR
7. The Python track
   • Distribute a web application: Flask
   • Distribute a web application: Flask + Nginx
   • Distribute a web application: Flask + Nginx + MongoDB
   • Mapping ports of the Docker image and the local system.
   • EXPOSE
8. Use cases for Docker
   • Distributing a pre-configured system.
   • Distributing a database system.
   • Filesystems
   • Volumes

Contact

Contact: Gabor Szabo gabor@hostlocal.com
Phone: +972-54-4624648