Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/35185
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Campo DCValorIdioma
dc.contributor.authorFigueira, J.-
dc.contributor.authorCoutinho, C.-
dc.contributor.editorFrancesco Longo-
dc.contributor.editorWeiming Shen-
dc.contributor.editorAntonio Padovano-
dc.date.accessioned2025-09-19T09:08:44Z-
dc.date.available2025-09-19T09:08:44Z-
dc.date.issued2024-
dc.identifier.citationFigueira, J., & Coutinho, C. (2024). Developing self-adaptive microservices. In F. Longo, W. Shen, & A. Padovano (Eds.), Procedia Computer Science (Vol. 232, pp. 264–273). Elsevier. https://doi.org/10.1016/j.procs.2024.01.026-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/10071/35185-
dc.description.abstractThe modern development approaches are establishing microservices and cloud computing as major trends to benefit the technological community. However, these technologies are often prone to multiple issues regarding parallel development by numerous parties, delivery strategies and resource allocation. This paper proposes a novel architecture for developing self-adaptive microservices, using Kubernetes through the Azure Container Apps, including a strategy that will complement the architecture to enhance the development of microservices and aiming to achieve a solution that allows the readers to deliver software faster, with more resilience, more scalable, and more cost-effective, depending as low as possible from human intervention to maintain and scale. The author will apply the acquired knowledge to propose and test an architecture for a real use case scenario, building a notifications service integrated with a complex cloud-based web application system.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04466%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F04466%2F2020/PT-
dc.relation.ispartofProcedia Computer Science-
dc.rightsopenAccess-
dc.subjectMicroservices architectureeng
dc.subjectCloud computingeng
dc.subjectSelf-adaptive systemseng
dc.subjectKuberneteseng
dc.subjectAzure Container Appseng
dc.titleDeveloping self-adaptive microserviceseng
dc.typeconferenceObject-
dc.event.title5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023-
dc.event.typeConferênciapt
dc.event.locationLisboaeng
dc.event.date2023-
dc.pagination264 - 273-
dc.peerreviewedyes-
dc.volume232-
dc.date.updated2025-09-19T10:06:37Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.procs.2024.01.026-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
iscte.subject.odsTrabalho digno e crescimento económicopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsCidades e comunidades sustentáveispor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-109448-
iscte.alternateIdentifiers.wosWOS:001196800600026-
iscte.alternateIdentifiers.scopus2-s2.0-85189765859-
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