So you have a fairly mature DevOps model in-place but you are missing the ability to integrate Azure Support issues into your processes. Well, that is no longer the case as we have released to the public our Azure Support Ticket REST API.
Azure DevOps provides features that enable your organization and teams adopt modern software engineering practices, such as InnerSource using features like forks and pull requests. Thus, enabling and encouraging code sharing and reuse thereby reducing engineering costs, facilitating faster time to market, and additional feature enablement.
As demonstrated above I was able to drop the build time from 5m 10s to 2m 34s which is roughly a 50% reduction in build time. This is a significant saving especially when you factor in the fact that you will run the build several times a day. This can quickly add up to hours of saved build time each day.
In this post, App Dev Manager Chris Westbrook explores scenarios for Azure Artifacts upstream sources.
With GitHub and Azure DevOps you have a powerful combination of tools to help you develop world class applications where you are an open source or enterprise developer.
The tech industry has made great progress over the last few years building low code environments such as Power Platform. Overall, the robust features can bring great value to business quickly with world class integrations, wide array of user interface templates and outstanding mobile functionality.
Le DevOps Dojo: Ceinture blanche contient huit modules, chacun aligné sur les concepts clés DevOps tels que l’intégration continue, la sécurité continue, la planification continue et autres.
The DevOps Dojo: White Belt contains eight modules, each aligned to key DevOps concepts such as Continuous Integration, Continuous Security, Continuous Planning, and others.
“DevOps Dojo: Cinta Blanca” contiene ocho módulos, cada uno alineado con conceptos clave de DevOps como integración continua, seguridad continua, planeación continua y otros.
Technical Debt can be defined as as “the concept in software development that reflects the implied cost of additional rework caused by choosing an easy (limited) and faster solution now instead of a using a better approach that would take longer”
