CEIS 420 Chapter 9: Deploying Python Architectures

Ansible

A configuration management and deployment tool written in Python

BlueGreen

A deployment model that keeps two production environments and at a given instance one environment is live, which is called as blue

Bucket Testing (A/B Testing)

A technique of deploying two dissimilar versions of an application to production to check more popular version

Canary Release

A deployment model in which the changes are rolled out to a small subset of users first

Chaos Monkey

A tool used by Netflix that automatically injects failures inn production systems and then measures the impact

Continuous

A deployment model where software is ready to go live at any time

Fabric

A command-line tool and library written in Python, which helps to automate remote deployments on servers via a set of well-defined wrappers over the Secure Shell (SSH) protocol

Induced Chaos

A technique of purposefully introducing errors or disabling part of a production deployment system to test its resilience to failures and/or level of availability

PIP installs packages (PIP)

The standard and suggested tool to install packages in Python

Python Package Inded (PyPI)

The official repository for hosting metadata for third-party Python packages on the web and is an index to the python packages on the Web whose metadata is published and indexed on a server

Python Packaging Authority (PyPA)

A working group of python developers who maintain the standards and the relevant applications related to packaging in Python

Supervisor

A client/service system, which is useful to control processes on Unix and Unix-like systems

Supervisord

A server daemon process contained by Supervisor

virtualenv

A tool that allows developers to create sand-boxed Python environments for local development