Developing Python 3 Apps with Docker
by Steven Haines
Moving from a traditional architecture to a containerized architecture can be intimidating. This course will teach you how to use Docker and Docker Compose to build and deploy highly scalable Python applications.
What you'll learn
Building highly scalable Python applications in a microservices-based architecture can be challenging. In this course, Developing Python Apps with Docker, you'll learn how to run highly scalable Python applications in Docker containers. First, you'll explore how to create a Dockerfile and containerize a Python application. Next, you'll discover how to create and connect multiple docker containers together using Docker Compose. Finally, you'll learn how to make your application production-ready and debug it while it's running in a container. When you're finished with this course, you'll have the skills and knowledge of using Python with Docker that is needed to build robust and scalable Python applications in Docker.
About the author
Steven Haines has worked as a software architect for the last twenty years, most recently as a principal software architect at Turbonomic, focused on their cloud offering. He spent seven years in various architect roles at Disney, beginning as a technical architect on Disney's MyMagic+ program and finishing his tenure as a lead solution architect and principal application architect, overseeing large projects ranging from rolling out Disney Shanghai, replacing the online ticket sales website for ... morethe Hong Kong Disney Resort, and moving PhotoPass to a serverless architecture. He has a passion for application performance and scalability and has spent time working on Application Performance Management applications at Quest Software and AppDynamics. He's the author of Java 2 From Scratch (QUE, 1999), Java 2 Primer Plus (SAMS, 2002), and Pro Java EE Performance Management and Optimization (Apress, 2006). He was the Java Host on InformIT.com, where he contributed weekly articles about Java for nearly ten years, he's a regular contributor to JavaWorld, and he wrote over two dozen white papers on performance, scalability, and cloud-based architectures. He taught computer science and Java courses at Learning Tree University as well as the University of California, Irvine. In his spare time he focuses on building his technical and business acumen by reading books, taking online courses, and building new applications, and spends as much time as he can with his family: his wife Linda of almost 20 years, his son Michael (17), and his daughter Rebecca (9).