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Docker for Professionals: The Practical Guide

Installing a software wasn't always this easy it required dedicated systems with hardware sets that catered to the needs of the software. You now want to port your software to another system? Another...

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Course Description

Installing a software wasn't always this easy it required dedicated systems with hardware sets that catered to the needs of the software. You now want to port your software to another system? Another OS? It just couldn't be done! All of that was before Docker. So, what is Docker? Docker is a container that wraps a piece of software into a complete file system, including everything the file w...

Installing a software wasn't always this easy it required dedicated systems with hardware sets that catered to the needs of the software. You now want to port your software to another system? Another OS? It just couldn't be done! All of that was before Docker. So, what is Docker? Docker is a container that wraps a piece of software into a complete file system, including everything the file would require to run (code, runtime, system tools, etc.). It then allows you to ship and use this container on any environment, regardless of the system requirements or the operating system. Your app or system will become a portable container that you can use and discard as you please.

What you’ll learn
  • A brief introduction to DevOps
  • Docker-what it is, why it exists, its background and even an example
  • How to install and use the docker containers,
  • How to use Docker in software installations and understand its persistent storage
  • All the different kinds of containers and how to create and maintain networking in Docker
  • How to package software in images for Docker
  • How to build automation and advanced image considerations
  • Distributing your software and registries
  • Docker clusters, the Docker Machine and also Docker Swarm

Covering Topics

1
Section 1 : Introduction
2
Section 2 : Introduction to DevOps
3
Section 3 : Hello Docker!
4
Section 4 : Using Docker Containers
5
Section 5 : Using Docker in Software Installations
6
Section 6 : Persistent Storage
7
Section 7 : Networking in Docker
8
Section 8 : Using Isolation to Mitigate Risks
9
Section 9 : Packaging Software in Images
10
Section 10 : Build Automation and Advanced Image Consideration
11
Section 11 : Public and Private Software Distribution
12
Section 12 : Final Project
13
Section 13 : Summary

Curriculum

      Section 1 : Introduction
1
Introduction
      Section 2 : Introduction to DevOps
2
Introduction to DevOps
3
Infrastucture Needs For Agile Development
4
DevOps Misconceptions
      Section 3 : Hello Docker!
5
What is it?
6
Common Docker Use Cases
7
A Docker Example
      Section 4 : Using Docker Containers
8
Getting Assistance on Docker Command Line
9
LAB: Create a Service Monitor
10
The PID Namespace
11
Problems with Multiple Containers
12
Docker Human-Friendly Names - Part A
13
Docker Human-Friendly Names - Part B
14
Bundling Environment Variables
15
Recovering from Failures - Restarting
16
Process Manager
17
Containers Entry Point
      Section 5 : Using Docker in Software Installations
18
Using Docker in Software Installations
19
Docker Hub
20
Building Your Own Image
      Section 6 : Persistent Storage
21
Persistent Storage
22
How to Use Volumes?
23
LAB: Using Volumes to Create Persistent Data
24
The "Bind Mount" Volume Type
25
LAB: Create a Python Script Image for Parsing a CSV File
26
Sharing Volumes - The Host-Dependent Way
27
Generalized Volume Sharing
      Section 7 : Networking in Docker
28
Networking in Docker
29
Docker Network Model - Illustration
30
Closed Container
31
Containers Name Resolution - Part A
32
Containers Name Resolution - Part B
33
Controlling Connections to the Container
34
Joined Containers
35
How do Containers "Know" About Each Other?
      Section 8 : Using Isolation to Mitigate Risks
36
Security and Isolation
37
CPU Allowance
38
Assigning a CPU Set to the Container
39
Docker Users
40
LAB - Handling Permissions
      Section 9 : Packaging Software in Images
41
Software Packaging
42
Determining Changes
43
The Commit Command Options
44
The Commit Command and UFS
45
Image Layer Sizes and Limits
46
Working with Flat File Systems
      Section 10 : Build Automation and Advanced Image Consideration
47
Build Automation
48
Understanding Build Automation - An Explanation
49
LAB02: A Python Base Image
50
Exploring Base.df File
51
The ONBUILD Instruction
      Section 11 : Public and Private Software Distribution
52
Distributing Your Image
53
LAB01: Using a Hosted Registry
54
Different Methods to Distribute Your Image Using Docker
55
LAB02: Create a Hosted Repository Using an Automated Build
56
Publishing to Private Registries
57
Manual Image Publishing
58
LAB05: Using GitHub as a Sole Means of Distribution
      Section 12 : Final Project
59
Final Project Part A
60
Final Project Part B
      Section 13 : Summary
61
Summary

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