Introduction to Docker

55 Ratings

Course Number: DVOP-110

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Docker Training Overview

Accelebrate's Introduction to Docker training course teaches attendees how to leverage the core features of Docker including container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, and much more. Students also learn best practices and build an application using Docker, Git, and a continuous integration server to automate the testing of containerized applications.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

Objectives

  • Install Docker
  • Build and manage containers
  • Work with images
  • Use advanced Docker networking
  • Safely expose container services to the world and link containers
  • Use Docker volumes to manage persistent data
  • Use Docker Compose to build multi-container applications
  • Secure Docker installations and containers
  • Build and deploy fully functional applications
  • Implement best practices

Prerequisites

All students should have proficiency with the Linux CLI and a broad understanding of Linux system administration.

Outline

Expand All | Collapse All

Introduction
Container Technology Overview
  • Instructor Docker Demo
  • Application Management Landscape
  • Application Isolation
  • Resource Measurement and Control
  • Container Security
  • OverlayFS Overview
  • Container Security
  • Open Container Initiative
  • Docker Alternatives
  • Docker Ecosystem
  • Docker Ecosystem (cont.)
Installing Docker
  • Installing Docker
  • Docker Architecture
  • Starting the Docker Daemon
  • Docker Daemon Configuration
  • Docker Control Socket
  • Enabling TLS for Docker
  • Validating Docker Install
Managing Containers
  • Creating a New Container
  • Listing Containers
  • Managing Container Resources
  • Running Commands in an Existing Container
  • Interacting with a Running Container
  • Stopping, Starting, and Removing Containers
  • Copying files in/out of Containers
  • Inspecting and Updating Containers
  • Docker Output Filtering & Formatting
Managing Images
  • Docker Images
  • Listing and Removing Images
  • Searching for Images
  • Downloading Images
  • Uploading Images
  • Export/Import Images
  • Save/Load Images
  • Committing Changes
Creating Images with DOCKERFILE
  • Dockerfile
  • Caching
  • docker image build
  • Dockerfile Instructions
  • ENV and WORKDIR
  • Running Commands
  • Getting Files into the Image
  • Defining Container Executable
  • HEALTHCHECK
  • Best Practices
  • Multi-Stage builds with Dockerfile
Docker Volumes
  • Volume Concepts
  • The docker volume Command
  • Creating and Using Internal Volumes
  • Internal Volume Drivers
  • Removing Volumes
  • Creating and Using External Volumes
  • SELinux Considerations
  • Mapping Devices
Docker Compose/SWARM
  • Writing YAML Files
  • Concepts
  • Compose CLI
  • Defining a Service Set
  • Compose Versions
  • Docker Engine Swarm Mode
  • Docker Swarm Terms
  • Docker Swarm Command Overview
  • Creating a Swarm
  • Creating Services
  • Creating Secrets
  • Stack Files
  • Stack Command
  • Swarm Placements
  • Swarm Resource Limits & Reservations
  • Swarm Networking
  • Swarm Networking Troubleshooting
Docker Networking
  • Overview
  • Data-Link Layer Details
  • Network Layer Details
  • Hostnames and DNS
  • Service Reachability
  • Container to Container Communication
  • Container to Container: Links (deprecated)
  • Container to Container: Private Network
  • Managing Private Networks
  • Remote Host to Container
Docker Logging
  • Docker Logging
  • Docker Logging with json-file and journald
  • Docker Logging with syslog
  • Docker Logging with Graylog or Logstash
  • Docker Logging with Fluentd
  • Docker Logging with Amazon or Google
  • Docker Logging with Splunk
Conclusion

Training Materials:

All Docker training students receive comprehensive courseware.

Software Requirements:

  • Laptop or desktop with i7 quad core processor or faster
  • 8GB RAM or higher
  • Internet connection for all attendees and the instructor
  • Note: If you do not have classroom computers available with this spec, we can recommend a rental laptop vendor whose machines meet these specifications.


Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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