Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/35185Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Figueira, J. | - |
| dc.contributor.author | Coutinho, C. | - |
| dc.contributor.editor | Francesco Longo | - |
| dc.contributor.editor | Weiming Shen | - |
| dc.contributor.editor | Antonio Padovano | - |
| dc.date.accessioned | 2025-09-19T09:08:44Z | - |
| dc.date.available | 2025-09-19T09:08:44Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Figueira, 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.issn | 1877-0509 | - |
| dc.identifier.uri | http://hdl.handle.net/10071/35185 | - |
| dc.description.abstract | The 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.iso | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation | info: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.relation | info: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.ispartof | Procedia Computer Science | - |
| dc.rights | openAccess | - |
| dc.subject | Microservices architecture | eng |
| dc.subject | Cloud computing | eng |
| dc.subject | Self-adaptive systems | eng |
| dc.subject | Kubernetes | eng |
| dc.subject | Azure Container Apps | eng |
| dc.title | Developing self-adaptive microservices | eng |
| dc.type | conferenceObject | - |
| dc.event.title | 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 | - |
| dc.event.type | Conferência | pt |
| dc.event.location | Lisboa | eng |
| dc.event.date | 2023 | - |
| dc.pagination | 264 - 273 | - |
| dc.peerreviewed | yes | - |
| dc.volume | 232 | - |
| dc.date.updated | 2025-09-19T10:06:37Z | - |
| dc.description.version | info:eu-repo/semantics/publishedVersion | - |
| dc.identifier.doi | 10.1016/j.procs.2024.01.026 | - |
| dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
| iscte.subject.ods | Trabalho digno e crescimento económico | por |
| iscte.subject.ods | Indústria, inovação e infraestruturas | por |
| iscte.subject.ods | Cidades e comunidades sustentáveis | por |
| iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-109448 | - |
| iscte.alternateIdentifiers.wos | WOS:001196800600026 | - |
| iscte.alternateIdentifiers.scopus | 2-s2.0-85189765859 | - |
| Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| conferenceObject_109448.pdf | 1,41 MB | Adobe PDF | View/Open |
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