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Python Microservices Development

You're reading from   Python Microservices Development Build, test, deploy, and scale microservices in Python

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785881114
Length 340 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (20) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction
1. Understanding Microservices FREE CHAPTER 2. Discovering Flask 3. Coding, Testing, and Documenting - the Virtuous Cycle 4. Designing Runnerly 5. Interacting with Other Services 6. Monitoring Your Services 7. Securing Your Services 8. Bringing It All Together 9. Packaging and Running Runnerly 10. Containerized Services 11. Deploying on AWS 12. What Next?

Docker 101


Running a container in Docker is done by executing a series of commands which starts a group of processes, which the tool isolates from the rest of the system.

Docker can be used to run a single process, but in practice we want to run a full Linux distribution. Not to worry, everything needed to run a full Linux inside Docker is already available.

Every existing Linux distribution out there provides a base image, which lets you run the distribution in Docker. The typical way you use images is by creating a Dockerfile (https://docs.docker.com/engine/reference/builder/), where you point the base image you want to use, and add some extra commands to be run to create the container.

The following is a basic example of a Docker file:

FROM ubuntu 
RUN apt-get update && apt-get install -y python 
CMD ["bash"]

A Dockerfile is a text file with a set of instructions. Each line starts with the instruction in uppercase, followed by its arguments.

In our example, there are these three instructions...

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