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Flask, a modern, lightweight, well-documented microframework based on Werkzeug and Jinja 2; Google App Engine, a platform for developing and hosting web applications in Google-managed data centers, including Python. Grok, a web framework based on Zope Toolkit technology; Jam.py (web framework), a "full stack" WSGI rapid application development ...
DevOps is a methodology integrating and automating the work of software development (Dev) and information technology operations (Ops). It serves as a means for improving and shortening the systems development life cycle. [1] DevOps is complementary to agile software development; several DevOps aspects came from the agile approach.
An Nginx architect argued that the relevance of the Twelve-Factor app concept is somewhat specific to Heroku, while introducing their own (Nginx's) proposed architecture for microservices. [3]
Mobile DevOps is a set of practices that applies the principles of DevOps specifically to the development of mobile applications. Traditional DevOps focuses on streamlining the software development process in general, but mobile development has its own unique challenges that require a tailored approach. [ 1 ]
Version Control is an important link in a DevOps toolchain and a component of software configuration management. Version Control is the management of changes to documents, computer programs, large web sites, and other collections of information. [8] A summary of Version Control related activities are: Non-linear development; Distributed development
Nordstrom, the upscale department store chain, is going private in a $6.25 billion deal with its founding family. The retailer announced Monday that the family — Erik, Pete and Jamie Nordstrom ...
Related: Joe Jonas and Demi Lovato Celebrate Halloween Weekend at Costume Party in L.A. "First of all, that whole answer was not me being ditzy, I swear. I was really tired and I was doing these ...
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...