Docker Containerization and DevOps

DVOP-112 (3 Days)

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Docker Training Overview

Containers provide a high level of security while also making maximal use of hardware allowing higher density than traditional VMs. Docker is a dominant force in Linux containers and the core building block for nearly all higher-level container management systems.

This Docker Containerization and DevOps training course teaches attendees how to use Docker to immediately be productive as they move applications onto containers.

Location and Pricing

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

Docker Training Objectives

All students will learn how to:

  • Create and manage containers
  • Interact with Docker hub
  • Use Dockerfile to create and manage custom images
  • Incorporate advanced Docker networking to safely expose container services to the world and link containers
  • Incorporate Docker volumes to manage persistent data
  • Use Docker Compose to build multi-container applications
  • Incorporate best practices
  • Secure Docker installations and containers
  • Use Docker, Git, and a continuous integration server to automate the testing of containerized applications

Docker Training Outline

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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
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

DVOP-112

Duration:

3 Days

Prerequisites:

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

Training Materials:

 All Docker training attendees receive comprehensive courseware and a related textbook.

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.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
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Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

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