Evolution of handling web applications up to the current DevOps tool

By: Contributor(s): Material type: ArticleArticleDescription: 1 archivo (469,2 kB)Subject(s): Online resources: Summary: In this paper, we show the way in which many standard web applications have evolved. Most of them started with a complete independence among software development and its architecture, deployment and infrastructure design. Now, the current usage of DevOps (for Development and Operations) emerging tools are used in the context of new methodologies. We use a specific application and its own evolution as an example. Most of the development cycle, application architecture, and environments for development, testing, and QA (Quality Assurance) has changed in the last years. From 2006 to date, we have taken advantage of many new technologies as soon as they were available, each one providing some aid to (some) web development task. We also define a preliminary characterization for web applications evolution in order to analyze pros and cons of the current DevOps methodologies.
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Capítulo de libro Capítulo de libro Biblioteca de la Facultad de Informática Biblioteca digital A0940 (Browse shelf(Opens below)) Link to resource No corresponde

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In this paper, we show the way in which many standard web applications have evolved. Most of them started with a complete independence among software development and its architecture, deployment and infrastructure design. Now, the current usage of DevOps (for Development and Operations) emerging tools are used in the context of new methodologies. We use a specific application and its own evolution as an example. Most of the development cycle, application architecture, and environments for development, testing, and QA (Quality Assurance) has changed in the last years. From 2006 to date, we have taken advantage of many new technologies as soon as they were available, each one providing some aid to (some) web development task. We also define a preliminary characterization for web applications evolution in order to analyze pros and cons of the current DevOps methodologies.

International Conference on Computational Science and Computational Intelligence (CSCI) (4ta : 2017 : Las Vegas, Estados Unidos)