HARTMANN software group

Docker Training in Boulder

Enroll in or hire us to teach our Docker class in Boulder, Colorado by calling us @303.377.6176. Like all HSG classes, Docker may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, Docker may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
get pricing information

Course Description

  
Linux containers are changing the way companies think about service development and deployment. Containers play a vital role in the modern data-center, and Docker is leading the way. This course covers all the core features of Docker including: container creation and management, interacting with Docker hub, using Dockerfile to create and manage custom images, advanced Docker networking (how to safely expose container services to the world, and link containers), the use of Docker volumes to manage persistent data, and Docker Compose to build multi-container applications. Emphasis is placed on best practices and how to secure Docker installations and containers. The course culminates with comprehensive labs where students use Docker, Git, and a continuous integration server to automate the testing of containerized applications. Many large companies are moving an increasing number of applications to run inside containers. Containers can 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 training will get sysadmins proficient with Docker so that they can immediately be productive as organizations continue to move applications onto containers.
Course Length: 3 Days
Course Tuition: $1690 (US)

Prerequisites
Proficiency with the Linux CLI. A broad understanding of Linux system administration.

Course Outline

  
  1. CONTAINER TECHNOLOGY OVERVIEW
    1. Instructor Docker Demo
    2. Application Management Landscape
    3. Application Isolation
    4. Resource Measurement and Control
    5. Container Security
    6. OverlayFS Overview
    7. Container Security
    8. Open Container Initiative
    9. Docker Alternatives
    10. Docker Ecosystem
    11. Docker Ecosystem (cont.)
    LAB TASKS
    1. Container Concepts runC
    2. Container Concepts Systemd
  2. INSTALLING DOCKER
    1. Installing Docker
    2. Docker Architecture
    3. Starting the Docker Daemon
    4. Docker Daemon Configuration
    5. Docker Control Socket
    6. Enabling TLS for Docker
    7. Validating Docker Install
    LAB TASKS
    1. Installing Docker
    2. Protecting Docker with TLS
  3. MANAGING CONTAINERS
    1. Creating a New Container
    2. Listing Containers
    3. Managing Container Resources
    4. Running Commands in an Existing Container
    5. Interacting with a Running Container
    6. Stopping, Starting, and Removing Containers
    7. Copying files in/out of Containers
    8. Inspecting and Updating Containers
    9. Docker Output Filtering & Formatting
    LAB TASKS
    1. Managing Containers
    2. Configure a docker container to start at boot.
  4. MANAGING IMAGES
    1. Docker Images
    2. Listing and Removing Images
    3. Searching for Images
    4. Downloading Images
    5. Uploading Images
    6. Export/Import Images
    7. Save/Load Images
    8. Committing Changes
    LAB TASKS
    1. Docker Images
    2. Docker Platform Images
  5. CREATING IMAGES WITH DOCKERFILE
    1. Dockerfile
    2. Caching
    3. docker image build
    4. Dockerfile Instructions
    5. ENV and WORKDIR
    6. Running Commands
    7. Getting Files into the Image
    8. Defining Container Executable
    9. HEALTHCHECK
    10. Best Practices
    11. Multi-Stage builds with Dockerfile
    LAB TASKS
    1. Dockerfile Fundamentals
    2. Optimizing Image Build Size
    3. Image Builds and Caching
  6. DOCKER VOLUMES
    1. Volume Concepts
    2. The docker volume Command
    3. Creating and Using Internal Volumes
    4. Internal Volume Drivers
    5. Removing Volumes
    6. Creating and Using External Volumes
    7. SELinux Considerations
    8. Mapping Devices
    LAB TASKS
    1. Docker Internal Volumes
    2. Docker External Volumes
  7. DOCKER COMPOSE/SWARM
    1. Writing YAML Files
    2. Concepts
    3. Compose CLI
    4. Defining a Service Set
    5. Compose Versions
    6. Docker Engine Swarm Mode
    7. Docker Swarm Terms
    8. Docker Swarm Command Overview
    9. Creating a Swarm
    10. Creating Services
    11. Creating Secrets
    12. Stack Files
    13. Stack Command
    14. Swarm Placements
    15. Swarm Resource Limits & Reservations
    16. Swarm Networking
    17. Swarm Networking Troubleshooting
    LAB TASKS
    1. Docker Compose
    2. Docker Engine Swarm Mode
  8. DOCKER NETWORKING
    1. Overview
    2. Data-Link Layer Details
    3. Network Layer Details
    4. Hostnames and DNS
    5. Service Reachability
    6. Container to Container Communication
    7. Container to Container: Links (deprecated)
    8. Container to Container: Private Network
    9. Managing Private Networks
    10. Remote Host to Container
    LAB TASKS
    1. Docker Networking
    2. Exposing Ports
    3. Docker Networking
  9. DOCKER LOGGING
    1. Docker Logging
    2. Docker Logging with json-file and journald
    3. Docker Logging with syslog
    4. Docker Logging with Graylog or Logstash
    5. Docker Logging with Fluentd
    6. Docker Logging with Amazon or Google
    7. Docker Logging with Splunk
    LAB TASKS
    1. Logging to syslog
  1. DOCKER REGISTRY LAB TASKS
    1. Docker Registry
    2. Docker Registry (secured)
    3. Docker Content Trust

Course Directory [training on all levels]

Technical Training Courses
Software engineer/architect, System Admin ... Welcome!
Business Training Courses
Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Linux Unix Uses & Stats

Linux Unix is Used For:
Desktop Mainframe Computers Mobile Devices Embedded Devices
Difficulty
Popularity
Year Created
1991/1971
Pros
Performance:
Linux supports many efficient tools and operates them seamlessly. Because it's architecture is lightweight it runs faster than both Windows 8.1 and 10. 
 
Security:
Because Linux is an open-source software,  anyone can contribute code to help enhance the users’ experience i.e., adding features, fixing bugs, reducing security risks, and more.
 
 
Software Development:
The terminal in Linux is a *wild card*. You can do almost anything with it. This includes software installation, application and server configurations, file system management, and etc.
 
Large-scale:
Open-source projects benefit from having an attentive community. As a result, Linux is more secure than Windows. Instead of installing anti viruses to clean malware, you just have to stick to the recommended repositories. 
 
Efficient: 
Developers have the convenience of running servers, training machine learning models, accessing remote machines, and compiling and running scripts from the same terminal window. 
 
Free: 
Linux is free (you can put it on as many systems as you like) and you can change it to suit your needs.
Cons
Learning Curve: 
Linux is not for everyone, there is a learning curve in switching to Ubuntu. To actually learn Linux efficiently would take a user one to several years.
 
No Tech Support:
Unlike Windows, there isn’t a dedicated tech support, so getting help for things is up to you. 
 
Designer Compatabilty:
Linux is not as user friendly as Windows or as ‘straight out of the box design’ As an example for design choices, Adobe hasn’t released any of its products to Linux users. So it’s impossible to run them directly. The Ubuntu alternative is a free software called GIMP. 
 
Gaming Capabilities: 
Most games aren’t available in Linux. But that’s not to say you can’t make it happen, it's just not as easy.   
Linux Unix Job Market
Average Salary
$85k-$105k
Job Count
n/a
Top Job Locations

New York City
Boston
San Francisco 
Complimentary Skills to have along with Linux Unix
The following are types of jobs that may require Linux skills.  The top 15 job titles on Dice.com that mention Linux in their postings are:
- DevOps Engineer
- Software Engineer
- Java Developer
- Systems Engineer
- Systems Administrator
- Senior Software Engineer
- Network Engineer
- Python Developer
- Linux Systems Administrator
- Software Developer
- System Administrator
- Linux Administrator
- Linux Engineer
- Senior Java Developer
- C++ Developer

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.