Practical Docker with Python

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

Sommario

Chapter 1:  Introduction to Containerization & DockerChapter Goal: Brief introduction to containerization, how they compare to virtual machines, Docker and getting the reader ready for the content of the bookSub -Topics1.            What are containers2.            Containers vs Virtual machines3.            Introduction to Docker4.            Installing Docker5.            Introduction to the Project Chapter 2:  Docker 101Chapter Goal: Getting started with Docker, running a sample containerSub - Topics:       1.            Checking if Docker is ready2.            Docker client3.            Running/stopping/ connecting a Docker container4.            Dockerfile brief5.            Practical: Running a simple container, hands-on some common Docker commands Chapter 3: Building the Python AppChapter Goal: Getting to understand the project, APIs involved, pre-requisitesSub - 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 DockerfileChapter Goal: Getting to know Dockerfile, the different constructs and conceptsSub - Topics: Dockerfile, dockerignoreBase image & using them with "from ..."RUN/CMD/Environment variablesPractical: Modifying sample Dockerfile to run our Project Chapter 5: Understanding Docker VolumesChapter Goal: Containers are meant for stateless applications. Chapter explains steps needed to persist data     Sub - Topics: Problem of stateful applications in containersDocker volumesPractical: Show how data in containers is lost when container is killed and how Docker volumes avoid thisPractical: Modifying our project Dockerfile to add Docker volumes Chapter 6: Docker NetworkingChapter Goal: Overview of Docker networking, linking containersSub - Topics: Docker bridged networkUser defined networksPractical: Create a Database container and link it with our project application server container Chapter 7: Multi Container Applications with Docker ComposeChapter Goal: Building multi-container applications with Docker composeSub - Topics:DockerCompose file referenceLinking/establishing dependencies across containersEnvironment variables across linked containersPractical: Moving our project from separate linked containers to Docker Compose project            

Info autore

Sathyajith Bhat is a seasoned DevOps/SRE professional currently working as a DevOps Engineer on Adobe I/O, which is Adobe’s developer ecosystem and community. Prior to this, he was the lead Ops/SRE at Styletag.com. He transitioned to Ops/SRE after being a lead analyst at CGI, working primarily on Oracle Fusion stack (Oracle DB/PL/SQL/Oracle Forms and other related middleware) designing, architecting, and implementing complete end-to-end solutions for a major insurance provider in the Nordics.

In his free time, Sathya is part of the Barcamp Bangalore planning team, handling DevOps and Social Media for BCB. He is also a volunteer Community Moderator at Super User and Web Apps Stack Exchange, keeps the servers for Indian Video Gamer forums up and running, and was previously a Moderator for Chip-India and Tech 2 forums.

Riassunto

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

Dettagli sul prodotto

• Autori: Sathyajith Bhat
• Editore: Apress L.p.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 22.09.2018
• EAN: 9781484237830
• ISBN: 978-1-4842-3783-0
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Linguaggi di programmazione; B, python, Software Engineering, Web Development, Computer programming, Professional and Applied Computing, Programming Language, Python (Computer program language), Web programming