Docker Training Course

This course is intended for:

• Software Engineers
• DevOps professionals

• Software Engineers
• DevOps professionals

Day 1

• The Docker Story
• Introduction to Images
• Creating Images
• System Commands
• Volumes
• Plugins

Day 2

• Docker Networking Basics
• Docker Compose
• Scaling out with Swarm Mode and Kubernetes
• Managing Secrets

Day 3

• Architecture of a Highly Distributed Application
• Development Pipeline Overview
• Developing Applications using Docker
• Debugging
• Edit and Continue
• Docker Compose
• Testing
• Health Check
• Defensive Programming
• Logging and Error Handling
• Docker Builder
• Routing Mesh
• HTTP Routing Mesh

By the end of the course successful learners will be able to:

• Deduce the foundations of containerization on a single Docker node through the study of Docker Training Program
• Invent an image using Dockerfile best practices
• Avail volumes in the application development process through Dockers Training certification
• Administer concepts of the Docker networking model
• Identify with the goal of services as a method of scaling containers
• Utilize two different orchestrators (Swarm and Kubernetes) to deploy a single application across multiple machines
• Describe the essential patterns used in a highly distributed EE application
• Recognize how to configure EE applications for different environments without code changes.
• Produce and containerize an EE application that are scalable, accessible, and fault-tolerant
• Fasten different debugging and testing techniques to containerized EE applications
• Frame and run the sample application on your local system using Kubernetes

• Instructor-led Sessions to give you in-depth knowledge on Docker Training Course
• Familiarize yourself with real-life case studies by getting hand-on approach through Docker Training Program
• All-embracing Dockers Training material to complete Assignments
• Expert Support lend to professionals pursuing the course
• Dockers Training Certification provided after successful completion of the course

What is Docker?

• Wikipedia defines Docker as an open-source project that automates the deployment of software applications inside containersby providing an additional layer of abstraction and automation of OS-level virtualization on Linux.

What are containers?

• The industry standard today is to use Virtual Machines (VMs) to run software applications. VMs run applications inside a guest Operating System, which runs on virtual hardware powered by the server’s host OS.
• VMs are great at providing full process isolation for applications: there are very few ways a problem in the host operating system can affect the software running in the guest operating system, and vice-versa. But this isolation comes at great cost — the computational overhead spent virtualizing hardware for a guest OS to use is substantial
• Containers take a different approach: by leveraging the low-level mechanics of the host operating system, containers provide most of the isolation of virtual machines at a fraction of the computing power

Why should I use it?

• Docker's rise has been nothing short of meteoric. Although containers by themselves are not a new technology, it was not until Docker arrived that they started to get mainstream attention. By providing standard APIs that made containers easy to use and creating a way for the community to collaborate around libraries of containers, Docker has radically changed the face of the technology landscape. In an article published by The Register in mid-2014, it was claimed that Google runs over two billion containers per week

What platforms does Docker run on?

• Linux:
• Any distribution running version 3.10+ of the Linux kernel
• Specific instructions are available for most Linux distributions, including RHEL, Ubuntu, SuSE, and many others.
• Microsoft Windows:
• Windows Server 2016
• Windows 10
• Cloud:
• Amazon EC2
• Google Compute Engine
• Microsoft Azure
• Rackspace

Recommended Related Training Courses:

• Kubernetes

• Docker Certification

• All students should be comfortable at the Linux command line.