About this class
his course combines the GL340 Docker and GL360 Kubernetes Administration courses.
Participants will first understand 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 second part of the course introduces participants to the basic concepts and architecture of Kubernetes, its initial install & setup, Kubernetes Pods, deployments and services, persistent storage, networking, automating deployment, scaling & management of containerized applications, and finally it's logging and monitoring facilities.
Structure: 50% theory 50% hands on lab exercises
Target audience: System administrators and Devops professionals who want to understand and use Docker and Kubernetes in enterprise and cloud environments.
What you'll be able to do
- Installing Docker
- Managing Containers
- Managing Images
- Creating Images with Dockerfile
- Docker Volumes
- Docker Compose/Swarm
- Docker Networking
Course outline
Module 1
- A broad understanding of Linux system administration (GL250 "Enterprise Linux
- Systems Administration")
- Application Management Landscape
- Application Isolation
- Resource Measurement and Control
- Container Security
- OverlayFS Overview
- Open Container Initiative
- Docker Alternatives
- Docker Ecosystem
- Lab Tasks
- Container Concepts runC
- Container Concepts Systemd
Module 2Installing Docker
- Installing Docker
- Docker Architecture
- Starting the Docker Daemon
- Docker Daemon Configuration
- Docker Control Socket
- Enabling TLS for Docker
- Validating Docker Install
- Lab Tasks
- Installing Docker
- Protecting Docker with TLS
Module 3Managing 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
- Lab Tasks
- Managing Containers
- Configure a docker container to start at boot.
Module 4Managing Images
- Docker Images
- Listing and Removing Images
- Searching for Images
- Downloading Images
- Uploading Images
- Export/Import Images
- Save/Load Images
- Committing Changes
- Lab Tasks
- Docker Images
- Docker Platform Images
Module 5Creating 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
- Lab Tasks
- Dockerfile Fundamentals
- Optimizing Image Build Size
- Image Builds and Caching
Module 6Docker 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
- Lab Tasks
- Docker Internal Volumes
- Docker External Volumes
Module 7Docker Compose/Swarm
- Writing YAML Files
- Concepts
- Compose CLI
- Defining a Service Set
- Legacy 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
- Lab Tasks
- Docker Compose
- Docker Engine Swarm Mode
Module 8Docker Networking
Download the full outline (PDF)
Before you attend
Structure : 50% theory 50% hands on lab exercises Target audience: System administrators and Devops professionals who want to understand and use Docker and Kubernetes in enterprise and cloud environments. S upported Distributions: Red Hat Enterprise Linux 8
Run this for a team
Private cohorts run on your dates, at your site or online, with the labs pointed at your environment. Above about four people it usually costs less than buying seats.
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