Overview
- Features a single Python-Docker project throughout the book for hands-on learning
- Covers Multi-container applications with Docker Compose
- Includes Data Persistence using Docker Volumes
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About this book
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
Who This Book Is For
Intermediate developers/DevOps practitioners who are looking to improve their build and release workflow by containerizing applications
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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Keywords
Table of contents (7 chapters)
Authors and Affiliations
About the author
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.
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.
Bibliographic Information
Book Title: Practical Docker with Python
Book Subtitle: Build, Release and Distribute your Python App with Docker
Authors: Sathyajith Bhat
DOI: https://doi.org/10.1007/978-1-4842-3784-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Sathyajith Bhat 2018
eBook ISBN: 978-1-4842-3784-7Published: 26 July 2018
Edition Number: 1
Number of Pages: XV, 186
Number of Illustrations: 33 b/w illustrations
Topics: Python, Web Development, Software Engineering