Search results
Results from the WOW.Com Content Network
In software engineering, CI/CD or CICD is the combined practices of continuous integration (CI) and continuous delivery (CD) or, less often, continuous deployment. [1] They are sometimes referred to collectively as continuous development or continuous software development.
Continuous Integration: Improving Software Quality and Reducing Risk. Pearson Education. ISBN 9780321630148. {}: CS1 maint: multiple names: authors list ; Ching, Maria Odea; Porter, Brett (2009-09-15). Apache Maven 2 Effective Implementation: Build and Manage Applications with Maven, Continuum, and Archiva.
This is an accepted version of this page This is the latest accepted revision, reviewed on 17 February 2025. Integration of software development and operations DevOps is the integration and automation of the software development and information technology operations [a]. DevOps encompasses necessary tasks of software development and can lead to shortening development time and improving the ...
Continuous delivery (CD) is a software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. [ 1 ] [ 2 ] It aims at building, testing, and releasing software with greater speed and frequency.
Hudson is a discontinued continuous integration (CI) tool written in Java, which runs in a servlet container such as Apache Tomcat or the GlassFish application server. It supports SCM tools including CVS, Subversion, Git, Perforce, Clearcase and RTC, and can execute Apache Ant and Apache Maven based projects, as well as arbitrary shell scripts and Windows batch commands.
It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous integration, and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat , or by default as a stand-alone web-application in co-bundled Eclipse Jetty .
Continuous integration (CI) is the practice of integrating source code changes frequently and ensuring that the integrated codebase is in a workable state. Typically, developers merge changes to an integration branch , and an automated system builds and tests the software system . [ 1 ]
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 ...