Monday 3:15 p.m.–3:45 p.m.
Pythons in A Container - Lessons Learned Dockerizing Python Micro-Services
Dorian Pula
- Audience level:
- Intermediate
- Category:
- Systems Administration
Description
Micro-services and Docker are all the rage for developing scalable systems. But what challenges will you face when developing and deploying Python apps using Docker to production? This talk goes into the real-life lessons learned from creating, deploying and scaling Dockerized Python applications.
Abstract
This talk will discuss the challenges of developing, testing, deploying and
scaling Dockerize apps.
### Intro to Micro-Services and Docker Containers
The focus is on Flask based Python micro-services, however most of the concepts
work for web apps and services written in Django or Pyramid. The talk starts
with a quick intro or refresher to micro-services (SOA) and Docker concepts
such as images, and containers.
### Developing + Testing with Docker
Next section is a quick overview of developing and debugging Docker images.
More details are available in the documentation for Docker, but a few basic
example will be given. The talk gets into the specifics of what is needed to
host a WSGI app in Docker, and some best practices for Python apps which differ
when working with a container environment vs in a normal development
environment.
### Deployment + Scaling
The next section deals with deploying micro-services. It touches upon the
many problems you need to consider when running multiple services, namely:
dependencies, monitoring and load balancing. Also the talk touches upon the
additional complexity added by rolling deploys and rollbacks/fail-overs.
### Lessons Learned
The final section presents a few key takeaways for the audience to consider
when using Docker to run Python web apps in production.
PyCon 2016 in Portland, OR is a production of the 