Our Docker training course will show you how to easily assemble multi platform apps from components in a DevOps environment, such that Developers, Testers and Sys Admins can all work together seamlessly to ensure smooth implementation through Continuous Integration and Delivery.
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. Course culminates with comprehensive labs where students use Docker, Git, and a continuous integration server to automate the testing of containerized applications.
Installation on Ubuntu and Windows
Using Docker Machine for host provisioning
Docker Machine drivers for cloud providers
Creating and running containers
Stopping and restarting
Investigating a container
Viewing the logs
Looking at processes
Removing a container and its data
The hello world example
Interactive Bash container
Building an image by committing changes
Building an image from a Dockerfile
Automated builds based on GitHub
Running more than one process in a container
gosu helper tool
Running a webapp in a single container
Running a webapp in micro services architecture
Finding and downloading existing images
Docker Hub and local repository
Sharing images with others
Deploying a private image repository
Container linking and naming
Creating and managing custom networks
Network over many Docker hosts
Host directories and files as data volume
Data volume containers
Data volumes shared between Docker Hosts
Backup and restore of data volumes
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11/10/2017: The training was to target a team of developers, with a mix of Java, C# and some C++. The team made heavy use of Java SE with some elements of...
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