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Learn the key differences between containers and virtual machines. Adopting a project based approach, this book introduces you to a simple Python application to be developed and containerized with Docker.
After an introduction to Containers and Docker you´ll be guided through Docker installation and configuration. You´ll also learn basic functions and commands used in Docker by running a simple container using Docker commands.
The book then moves on to developing a Python based Messaging Bot using required libraries and virtual environment where you´ll add Docker Volumes to your project, ensuring your container data is safe. You´ll create a database container and link your project to it and finally, bring up the Bot-associated database all at once with Docker Compose.
What You´ll Learn

Build, run, and distribute Docker containers

Develop a Python App and containerize it
Use Dockerfile to run the Python App
Define and run multi-container applications with Docker Compose
Work with persisting data generated by and used by Docker containers Who This Book Is For
Intermediate developers/DevOps practitioners who are looking to improve their build and release workflow by containerizing applications

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Chapter 1: Introduction to Containerization & Docker Chapter Goal: Brief introduction to containerization, how they compare to virtual machines, Docker and getting the reader ready for the content of the book Sub -Topics 1. What are containers 2. Containers vs Virtual machines 3. Introduction to Docker 4. Installing Docker 5. Introduction to the Project Chapter 2: Docker 101 Chapter Goal: Getting started with Docker, running a sample container Sub - Topics: 1. Checking if Docker is ready 2. Docker client 3. Running/stopping/ connecting a Docker container 4. Dockerfile brief 5. Practical: Running a simple container, hands-on some common Docker commands Chapter 3: Building the Python App Chapter Goal: Getting to understand the project, APIs involved, pre-requisites Sub - Topics: 1. Project description (delivering latest content from Reddit to Telegram messenger) 2. Setting up the Python workspace (installing the required libraries, setting up virtualenv) 3. Creating a Telegram bot 4. Running the Python application and confirming bot works Chapter 4: Understanding Dockerfile Chapter Goal: Getting to know Dockerfile, the different constructs and concepts Sub - Topics: Dockerfile, dockerignore Base image & using them with "from ..." RUN/CMD/Environment variables Practical: Modifying sample Dockerfile to run our Project Chapter 5: Understanding Docker Volumes Chapter Goal: Containers are meant for stateless applications. Chapter explains steps needed to persist data Sub - Topics: Problem of stateful applications in containers Docker volumes Practical: Show how data in containers is lost when container is killed and how Docker volumes avoid this Practical: Modifying our project Dockerfile to add Docker volumes Chapter 6: Docker Networking Chapter Goal: Overview of Docker networking, linking containers Sub - Topics: Docker bridged network User defined networks Practical: Create a Database container and link it with our project application server container Chapter 7: Multi Container Applications with Docker Compose Chapter Goal: Building multi-container applications with Docker compose Sub - Topics: DockerCompose file reference Linking/establishing dependencies across containers Environment variables across linked containers Practical: Moving our project from separate linked containers to Docker Compose project

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