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Continuous Integration: Improving Software Quality and Reducing Risk. 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. Packt Publishing Ltd. ISBN 9781847194558.
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.
AnthillPro – Continuous integration server; Apache Continuum – Continuous integration server for building Java-based projects; discontinued; Bitbucket Pipelines and Deployments – Continuous integration for Bitbucket hosted repositories [3] Buildbot – Continuous integration testing framework; CruiseControl – Software continuous build ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 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 deployment (CD) is a software engineering approach in which software functionalities are delivered frequently and through automated deployments. [ 1 ] [ 2 ] [ 3 ]
There are various tools that help accomplish all or part of this process. [9] These tools are part of the deployment pipeline which includes continuous delivery. The types of tools that execute various parts of the process include: continuous integration, application release automation, build automation, application lifecycle management. [10]
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 .
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 ...
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