We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Python, Docker, Kubernetes, and beyond?

Formal Metadata

Title
Python, Docker, Kubernetes, and beyond?
Title of Series
Number of Parts
132
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
Have you ever tried to manage deployment of multiple python applications through various linux distributions ? If so, you must have heard of Docker and maybe also Kubernetes. Distributing python applications using docker is simple and allows to create static packages containing everything required for them to run. Also it allows to freeze everything, packages, available libraries, files on filesystem. In my speech I would like to tell you about our brief journey, of moving our trading platform from standalone application directly on host system, through deploying it in docker and latter moving it to kubernetes. I will explain our struggles with implementing stable and fast CI using Gitlab CI and Docker, image (package) storage and cleanup of old images and finally I will tell you how we are deploying our platform to kubernetes, with nothing more than yaml-s and templating.
Keywords