Continuous Delivery Using Docker And Ansible

By Justin Menga
Learn how to fast-track applications from development to production by automating various application tasks with Docker and Ansible. You'll learn how to create a continuous delivery workflow that delivers a sample Python Web application to AWS.
Play course overview
Course info
Rating
(127)
Level
Intermediate
Updated
May 10, 2016
Duration
7h 13m
Table of contents
Course Overview
Course Overview 2m
Course Introduction
Introduction 4m Course Audience and Prerequisites 4m Course Tour 6m Continuous Delivery Overview 3m How to Achieve Continuous Delivery 3m Why Docker? 2m Continuous Delivery Architecture 4m Demo - Preparing Your Environment 3m Installing Docker 1m Installing Ansible 1m Installing Other Tools 2m Creating a Docker Virtual Machine 3m Summary 2m
Creating the Sample Application
Introduction 3m Demo - Application Walkthrough 3m Demo - Creating the Todobackend Web Service 15m Demo - Unit and Integration Testing 12m Demo - Acceptance Testing 7m Demo - Testing the User Interface 3m Summary 1m
Unit/Integration Testing using Docker
Introduction 2m Continuous Delivery Workflow 2m Docker Image Hierachy 4m Demo - Creating the Base Image 6m Establishing the Virtual Environment 6m Building the Base Image 2m Demo - Creating the Development Image 5m Creating Application Requirements Files 2m Development Image Review 2m Testing the Development Image 8m Demo - Creating a Docker Compose Environment 5m Running Tests using Docker Compose 4m Waiting for a Dependent Service to Initialize 4m Docker Compose Test Environment Review 1m Summary 1m
Building Artifacts using Docker
Introduction 1m Continuous Delivery Workflow 2m Application Artifact Types 2m Demo - Building Application Artifacts 6m Test and Build Consistency 2m Adding a Builder Service 5m Building and Publishing Python Wheels 6m Summary 2m
Creating Releases using Docker
Introduction 3m Serving the Application 6m Demo - Creating the Release Environment 4m Creating the Release Image 2m Describing the Release Image Part 1 2m Describing the Release Image Part 2 7m Testing the Release Image 4m Demo - Bootstrapping the Application 8m Bootstrapping the Application Review 1m Demo - Acceptance Testing 4m Running Acceptance Tests 2m Continuous Delivery Workflow Review 4m Summary 1m
Continuous Delivery Automation
Introduction 1m Demo - Using the Make Build System 6m Creating a Makefile 3m Describing the Workflow 4m Parameterizing the Makefile 5m Demo - Workflow Infrastructure 4m Creating Docker Hub Repositories 6m Summary 2m
Enhancing the Workflow
Introduction 2m Dangling Images and Volumes 5m Improving User Feedback 4m Self Containment 6m Ensuring Self Containment 5m Producing Test Reports 2m Handling Failures and Errors 8m Ensuring Consistency 8m Configuring Consistency 3m Tagging the Release Image 8m Publishing the Release Image 3m Docker Compose v2 Specification 9m Summary 2m
Continuous Delivery Using Jenkins
Introduction 1m Demo - Setting up Jenkins Locally 7m Configuring the Workflow in Jenkins 4m Testing the Workflow 1m Creating a Self Defined Workflow 3m Test Failures 1m Publishing the Jenkins Image 1m Demo - Publishing Jenkins to AWS 4m Initial AWS Setup 3m AWS VPC Infrastructure 3m Creating a CloudFormation Template 2m Defining an EC2 Instance 6m Defining Security Groups and Roles 3m Defining Elastic Load Balancers 1m Configuring the EC2 Container Service 3m Configuring Stack Outputs 1m Creating the Stack 4m Demo - Integrating Jenkins with GitHub and Docker Hub 2m Testing the Workflow 2m Configuring GitHub Integration 4m Configuring Docker Hub Integration 2m Summary 2m
Continuous Deployment using Ansible
Introduction 1m Demo - Creating the Application Stack 3m Configuring Autoscaling 4m Configuring the Relational Database Service 3m Configuring the Elastic Load Balancer and EC2 Container Service 6m Demo - Creating an Ansible Deployment Playbook 2m Deployment Walkthrough 3m Configuring Access to AWS 2m Creating the Playbook 3m Creating the Stack Task 4m Installing Custom Ansible Modules 4m Deploying the Application 5m Testing the Playbook 5m Demo - Continuously Deploying the Application using Jenkins 3m Creating the Jenkins Deployment Job 4m Continuously Deploying New Releases 4m Summary 2m
Description
Course info
Rating
(127)
Level
Intermediate
Updated
May 10, 2016
Duration
7h 13m
Description

Continuous delivery is fast becoming an indispensable practice for organizations that want to develop and deploy applications to production at speed with improved reliability. This course, Continuous Delivery Using Docker and Ansible, will teach you how to create a robust, production-class continuous delivery workflow that will test, build, release, and continuously deploy your applications in Docker containers. You'll learn how to create a portable workflow locally on your machine that you can invoke with a handful of simple commands, and then learn how to run your workflow in the popular Jenkins continuous delivery system using the new Jenkins pipeline plugin. Along the way, you will learn how to compose multi-container environments using Docker Compose, publish test reports, set up integration with GitHub and Docker Hub, and finally, deploy your application to Amazon Web Services (AWS), using the AWS CloudFormation service to define all of the infrastructure requirements for your application and AWS EC2 Container Service to run your Docker applications in production. By the end of this course, you'll have a better understanding of continuous delivery and how you can use Docker and Ansible to develop and produce better applications more efficiently than ever.

About the author
Justin Menga
About the author

Justin is a full stack technologist working with organizations to build large scale applications and platforms, with a focus on end-to-­end application architecture, cloud, continuous delivery, and infrastructure automation.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone, my name is Justin Menga, and welcome to my course, Continuous Delivery Using Docker and Ansible. I am an independent Full Stack Technologist working with organizations to accelerate application deliver and build scalable application architectures and platforms. Continuous delivery is the gold standard in application delivery, allowing development and operations teams to successfully deliver applications faster and more reliably. And, Docker and Ansible are some of the hottest technologies around that can really supercharge and empower continuous delivery. In this course, we are going to learn how to build a continuous delivery workflow from scratch, using Docker and Ansible as core enabling technologies, allowing us to test, build, release, and continuously deploy a sample application to Amazon Web Services. Some of the major topics that we will cover include, running unit and integration tests using Docker, building and testing Docker release images, enabling push-button style automation for continuous delivery and deployment, establishing a continuous delivery pipeline using Jenkins. And finally, setting up a deployment pipeline that deploys your application to Amazon Web Services. By the end of this course, you'll know how to build a production-class continuous delivery workflow that you can run both locally on your computer or on any continuous delivery system that supports Docker. Before beginning this course, you should have a basic working knowledge of Docker, and have worked with Ansible or other configuration management tools previously, although, I have designed this course such that you can follow along, even if you haven't worked with any of these technologies before. I hope you'll join me on this journey to learn how to create a production-class continuous delivery workflow with the Continuous Deliver Using Docker and Ansible course at Pluralsight.

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