Predictive Data Security using AI by Unknown

Predictive Data Security using AI by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789811962905
Publisher: Springer Nature Singapore


2 DevOps Life Cycle

The DevOps lifecycle enhances advancement processes from beginning to end and connects with the association in a nonstop turn of events, bringing about quicker conveyance times. This cycle fundamentally comprises of the accompanying seven phases.

2.1 Continuous Development

Continuous Development includes arranging and coding the product. The whole improvement process becomes separated into more modest advancement cycles. This interaction makes it simpler for the DevOps group to speed up the general programming advancement process. This stage is instrumental in planning the vision for the whole improvement cycle, empowering engineers to comprehend project assumptions completely. Through this, the group begins imagining its ultimate objective too. There are no DevOps instruments needed for arranging; however, numerous adaptation DevOps tools are utilized to keep up with code. This course of code upkeep is called source code management or source version control system. Famous DevOps tools for source code upkeep incorporate JIRA, Git, Mercurial, and SVN. Also, there are various DevOps tools for bundling the codes into executable documents, like Ant, Gradle, and Maven. These executable records are then sent to the next phase of the DevOps lifecycle.



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