Presented at PyCon SK 2016. From simple blogs and monolith Django web apps, up to sophisticated micro service architectures, is your product ready to leverage the opportunities brought by the new tools out there? In this talk I show how to package Python applications as ready-to-use Docker containers, and how to deploy and manage them in your own private cloud with OpenShift.

1. Building and Deploying containerized
Python Apps in the Cloud
Rodolfo Carvalho
Software Engineer
Mar 12th
, 2016

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Shipping Apps
Background Wiring Components Together
Rinse & RepeatCreating Containers

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Background
Manual Automated

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Techniques & Practices
● Sprints
● Automated Tests
● TDD
● Continuous Integration
● Continuous Deployment

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Tools
● Ansible
● Yum / DNF
● IaaS
● Pip
● PaaS
● Docker

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Docker
● “Docker allows you to package an application with all of its
dependencies into a standardized unit”
● “Docker containers wrap up a piece of software in a complete
filesystem that contains everything it needs to run: code, runtime,
system tools, system libraries – anything you can install on a server.
This guarantees that it will always run the same, regardless of the
environment it is running in.”

7. Creating Containers

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Containers & Images

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Minimal Web App and Dockerfile

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docker build -t hello .docker build -t hello .

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Image Considerations 1/2
● Base Image
● Proper usage of layers
● Default user & permissions
● Other defaults:
● Exposed ports
● Work directory
● Entrypoint / Cmd

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Image Considerations 2/2
● Install dependencies
● System
● Language
● Reuse

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Source-To-Image
github.com/openshift/source-to-image

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s2i build . centos/python-34-centos7 hello-s2is2i build . centos/python-34-centos7 hello-s2i

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OpenShift Builds

16. Wiring Components Together

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More Apps

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oc new-appoc new-app

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OpenShift Templates

20. Rinse & Repeat

21. THANK YOU
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22. Coding Dojo
Hands on Coding with Python
Tomorrow 9:00 – 12:00