The course is designed for anyone who wants to learn how to run the Docker in an extensive application infrastructure, both within your company, and from outside vendors. You will learn how to properly "dockerize" applications to make them robust and stable.
Gradually, we go through the whole process from installing the Docker Server, through the creation of a dockerized version of the application, to deployment on the production infrastructure. And all this while adhering to best practices for creating and running such applications. On practical examples, we will try out all of the advanced techniques that Docker and its ecosystem offer. Thanks to the extensive practical experience of the lecturers, we will also focus on the most common problems and mistakes most commonly made by Docker users.
Audience:
System Administrators
Application developers
IT Professionals
Prerequisites:
Knowledge of the Linux operating system (command line work, knowledge of basic shell tools)
Basic knowledge of Docker (knowledge of nomenclature and basic operations of the Docker - launching the container etc.)
Previous attendance at the Docker Foundation is highly recommended
Course goals:
Course participants will learn:
Create your own Docker Images
Advanced techniques of building images (multi-stage, on-build)
How to Prepare Docker Image for Production Deployment
Understand how the Docker works, including the detection of potential problems
Operation of the production docker infrastructure
Course content:
Advanced operations with Docker
Create your own instance using the Docker Machine
Writing your own Dockerfile (best practices, multi-stage build)
Working with Docker Image
Docker Compose
Practical practice of the subject matter
Docker Images for Production Deployment
Images (safety, labeling, dumb-init)
Image Registry (hosted, on-premise)
Continous Integration, Continuous Delivery
Practical practice of the subject matter
Docker in production deployment
Security practices
Volumes / Storages
Networking
Logging
Running, Running and Orchestration of Docker Applications in Production Deployment (Docker Swarm, Kubernetes, Openshift)
Application monitoring
Operating systems for Docker operation
Practical practice of the subject matter