CRANE: a tool for deploying containerized applications in local environments
cic.institucionOrigen | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
cic.isFulltext | SI | |
cic.isPeerReviewed | SI | |
cic.lugarDesarrollo | Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) | |
cic.parentType | Objeto de conferencia | |
cic.version | Aceptada | |
dc.date.accessioned | 2025-10-06T13:16:48Z | |
dc.date.available | 2025-10-06T13:16:48Z | |
dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/12558 | |
dc.title | CRANE: a tool for deploying containerized applications in local environments | en |
dc.type | Documento de conferencia | |
dcterms.abstract | CRANE 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.author | Silva Pavón, José Miguel | |
dcterms.creator.author | Bellino, Franco | |
dcterms.creator.author | Bazán, Patricia | |
dcterms.creator.author | Lliteras, Alejandra Beatriz | |
dcterms.creator.author | del Rio, Nicolás | |
dcterms.identifier.url | https://doi.org/10.1007/978-3-032-00718-6_18 | |
dcterms.isPartOf.issue | vol 2520 | |
dcterms.isPartOf.series | XXX Congreso Argentino de Ciencias de la Computación (CACIC) (La Plata, 7 al 11 de octubre de 2024) | |
dcterms.issued | 2024 | |
dcterms.language | Inglés | |
dcterms.license | Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) | |
dcterms.subject | API REST | en |
dcterms.subject | Local Deployment | en |
dcterms.subject | DevOps | en |
dcterms.subject | Docker | en |
dcterms.subject | Scaling | en |
dcterms.subject | Monitoring | en |
dcterms.subject | Cloud Infrastructure | en |
dcterms.subject | Training | en |
dcterms.subject | Kubernetes | en |
dcterms.subject.materia | Ciencias de la Computación e Información | |
dcterms.title.subtitle | Lessons learned and proposed improvements | en |
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