Docker Virtual Classroom Live August 17, 2026

Price: $1,900

This course runs for a duration of 3 Days.

The class will run daily from 9 AM MT to 5 PM MT.

Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.

Enroll today to reserve your spot!

Space is limited. Enroll today.

Enroll Now

Description

This hands-on course equips Linux administrators and DevOps engineers with the skills needed to deploy and manage Docker containers in enterprise environments. Students gain practical experience with the full Docker workflow, from installing and configuring the Docker engine through building production-ready images, managing container lifecycles, and orchestrating multi-container applications.

Topics cover the complete Docker stack: Linux kernel container primitives (namespaces, cgroups, OverlayFS), Docker engine installation and daemon configuration with TLS security, container creation and resource management, and image building with Dockerfile best practices and multi-stage builds. The course also covers persistent storage using internal volumes and external bind mounts with volume drivers, multi-container orchestration with Docker Compose and Swarm mode including services, stacks, secrets, and overlay networking, bridge networking with private networks and DNS resolution, and centralized logging with syslog, journald, Graylog, Fluentd, Splunk, and cloud provider integrations.

Each chapter includes guided lab exercises where students work directly with Docker on live systems, building the practical skills that containerized infrastructure demands.

Audience

System administrators, DevOps engineers, site reliability engineers, and platform engineers responsible for deploying, managing, and securing containerized applications who want to build practical Docker skills for development and production environments.

Skills Gained

Deploy and configure the Docker engine on enterprise Linux systems
Secure Docker daemon communication with TLS certificates
Create, run, and manage container lifecycles using Docker CLI commands
Build custom container images using Dockerfile instructions and multi-stage builds
Manage container resource limits for CPU and memory using cgroups
Configure persistent storage with Docker volumes, bind mounts, and volume drivers
Define and deploy multi-container applications with Docker Compose
Set up Docker Swarm clusters with service discovery and load balancing
Configure Docker bridge networking, private networks, and published ports
Implement container logging using syslog, journald, Graylog, Fluentd, and Splunk drivers
Troubleshoot container issues using inspect, logs, and system events
Apply container security best practices including SELinux, seccomp, and capabilities

Course Overview

CONTAINER TECHNOLOGY OVERVIEW
1. Application Management Landscape
2. Application Isolation
3. Resource Measurement and Control
4. Container Security
5. OverlayFS Overview
6. Container Security
7. Open Container Initiative
8. Docker Alternatives
9. Docker Ecosystem
LAB TASKS
1. Container Concepts runC
2. Container Concepts Systemd
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
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.
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
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
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
DOCKER COMPOSE/SWARM
1. Writing YAML Files
2. Concepts
3. Compose CLI
4. Defining a Service Set
5. Legacy 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
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
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

Prerequisites

Proficiency with the Linux command-line interface and a broad understanding of Linux system administration. GL120 (Linux Fundamentals) or equivalent experience recommended.

Course Comments

Supported Distributions:

Red Hat Enterprise Linux 9