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Introduction to Docker

Course Summary

The Introduction to Docker training course is designed to familiarize students with the benefits of containerization for both systems and application design. Hardware virtualization brought along a new era of server management and application architecture, by allowing companies to more rapidly plan and migrate environments. The introduction of lighter weight virtualized systems, called "containers", has finally achieved the goal of hardware agnosticism. Docker, introduced in 2013, has become an unofficial standard for building, deploying, and managing these containers. Through a series of hands-on, guided sections, students will first absorb and then put in practice the tools needed to bring the virtualization revolution back with them.

The course begins with explaining the background and history of containers and Docker, and gives examples of how to build and run containers. Then the course expands beyond containers and illustrates strategies and considerations for designing apps. The course concludes with discovering how to apply best practices and tools when moving to production.

Purpose
Learn how to utilize Docker for distributed apps.
Audience
Developers looking to familiarize themselves with the benefits of containerization for both systems and application design.
Role
DevOps Engineer - Software Developer
Skill Level
Introduction
Style
Hack-a-thon - Learning Spikes - Workshops
Duration
3 Days
Related Technologies
Docker | Kubernetes

 

Productivity Objectives
  • Identify how to build and manage containers.
  • Design, build and deploy fully functional applications.
  • Utilize the application of these tools for a business.

What You'll Learn:

In the Introduction to Docker training course, you'll learn:
  • Introduction to Containers and Docker
    • Background and history - virtualization, Docker, coreos, etc
    • Levels of virtualization - difference between VMWare style and LXC style
    • Value of an LXC wrapper
    • Intro to Images and Containers - Format, contents, specs
    • Runtime environment / Constraints
    • Building and Running Containers
    • Daemon hosting model
    • Contents of running containers
    • Exploring the host
    • Managing container execution
      • Start, stop, ssh, exit, terminate, lifecycles
    • File systems
      • Host vs Container & OS Options / Benefits
    • Managing images
  • Expanding Beyond the Container
    • Image Repositories - Public vs Private
    • Networking - Between local containers, Between machines, etc
    • Application considerations for networking and file system
    • Strategies and considerations for designing apps in this model
    • Managing volumes
    • Orchestrating multiple containers
    • Responding to topology and binary changes - automate build and deploy
    • Remote management - manage servers in deployed scenarios
    • Security considerations
    • Tools: etcd, systemd, etc
    • Docker Compose
    • Automation
      • Automated packaging with Dockerfile
      • Metadata instructions
      • File system instructions
      • Packaging for multiprocess and durable containers
      • Trusted base images
      • Working with users
      • Reducing the image attack surface
  • Moving to Production
    • Best practices & Tools
    • Docker Swarm
    • Mesos, Kubernetes, Fleet
    • Load balancing, networking changes for scale, etc
    • Running and using your own registry
    • AWS EC2 overview, benefits over self hosted
    • Microservices
    • Labs, Demos and Discussion
      • Creating your own image
      • Working with volumes
      • Using network to connect two containers
      • Getting started with AWS EC2
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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