Docker Mastery

Build Apps That Deploy Anywhere

Section 1 – Introduction

L1 Introduction

Section 2 – Required Downloads and Installations

L1 Required Downloads and Installations

Section 3 – The Need for Docker

L1 The Need for Docker

Section 4 – Running Applications Inside Docker Containers

L1 Important Tip for Windows Users

L2 Running Applications Inside Docker Containers

L3 Struggling with the Docker Run Command?

L4 Workbook - Containerizing Python, Go, and Ruby Applications

Section 5 – Building Images from Dockerfiles

L1 Building Images from Dockerfiles

L2 Workbook - Building Images for Python, Go, and Ruby Applications

Section 6 – Containerizing a Web Application

L1 Containerizing a Web Application (Flask)

L2 Containerizing a Web Application (Spring Boot)

Section 7 – Docker Networks and Microservices

L1 Running Web Applications on the Same Network

L2 Ecommerce Microservices - React, Node, Flask, Spring Boot, Go

Section 8 – Pushing Images to Docker Hub and Tagging Practices

L1 Pushing Images to Docker Hub and Tagging

Section 9 – Streamlining with Docker Compose

L1 Streamlining with Docker Compose

L2 Ecommerce Workbook - Docker Compose

Section 10 – Running Databases inside Docker Containers

L1 Running Databases inside Docker Containers

L2 Ecommerce Workbook - Docker Compose and Database Volumes

Section 11 – Deploying Containers to the Cloud!

L1 Deploying Two Web Containers and a Database

L2 Setting The Stage

L3 Verify Your Connection URL

L4 Testing the Containers Before Deployment

L5 Update for Container Deployment (Important)

L6 Action Required - Create a Heroku Account

L7 Action Required - Install Git

L8 Action Required - Set up the Heroku CLI (Mac)

L9 Action Required - Set up the Heroku CLI (Windows)

L10 Deploy Your Containers to the Cloud!

Section 12 – Next Course

L1 Next Step - Kubernetes Training

Deploying Two Web Containers and a Database

This section covers the deployment of two containerized web applications (Grade Submission API and Grade Submission Portal) to the cloud using Heroku. Environment variables will be created using the Heroku CLI to establish a connection between the containers.
The database will be deployed separately using MongoDB Atlas, a fully managed database service, because it is not feasible to deploy standalone database containers. Cloud Providers cannot simply provision persistent storage to individual containers out of the box.
Database containers rely on persistent volumes in order to persist data, which are typically provisioned within the confines of a Kubernetes cluster. The Kubernetes cluster is then deployed using a cloud provider that has the infrastructure to support it (AWS, Azure, Google Cloud). Kubernetes will be covered in my next course.