CRANE: a tool for deploying containerized applications in local environments

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2025-10-06T13:16:48Z
dc.date.available2025-10-06T13:16:48Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12558
dc.titleCRANE: a tool for deploying containerized applications in local environmentsen
dc.typeDocumento de conferencia
dcterms.abstractCRANE is a tool designed to simplify the local deployment of containerized applications, enabling developers and students to test distributed environments efficiently. Its lightweight design incorporates automatic scaling capabilities, making it a good solution for creating and deploying full application stacks within a controlled environment. Furthermore, CRANE aims to enhance DevOps skill development, streamlining the software development process within a continuous delivery framework. This paper introduces the implementation of CRANE as an API that manages the creation and deployment of Docker services while providing features for monitoring, defining scaling policies, and handling alerts. These functionalities support decision-making processes. Additionally, it discusses key lessons learned from the implementation, outlines observed results, and suggests potential improvements for future development.en
dcterms.creator.authorSilva Pavón, José Miguel
dcterms.creator.authorBellino, Franco
dcterms.creator.authorBazán, Patricia
dcterms.creator.authorLliteras, Alejandra Beatriz
dcterms.creator.authordel Rio, Nicolás
dcterms.identifier.urlhttps://doi.org/10.1007/978-3-032-00718-6_18
dcterms.isPartOf.issuevol 2520
dcterms.isPartOf.seriesXXX Congreso Argentino de Ciencias de la Computación (CACIC) (La Plata, 7 al 11 de octubre de 2024)
dcterms.issued2024
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectAPI RESTen
dcterms.subjectLocal Deploymenten
dcterms.subjectDevOpsen
dcterms.subjectDockeren
dcterms.subjectScalingen
dcterms.subjectMonitoringen
dcterms.subjectCloud Infrastructureen
dcterms.subjectTrainingen
dcterms.subjectKubernetesen
dcterms.subject.materiaCiencias de la Computación e Información
dcterms.title.subtitleLessons learned and proposed improvementsen

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