Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/35185
Autoria: | Figueira, J. Coutinho, C. |
Editor: | Francesco Longo Weiming Shen Antonio Padovano |
Data: | 2024 |
Título próprio: | Developing self-adaptive microservices |
Volume: | 232 |
Título e volume do livro: | Procedia Computer Science |
Paginação: | 264 - 273 |
Título do evento: | 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 |
Referência bibliográfica: | 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 |
ISSN: | 1877-0509 |
DOI (Digital Object Identifier): | 10.1016/j.procs.2024.01.026 |
Palavras-chave: | Microservices architecture Cloud computing Self-adaptive systems Kubernetes Azure Container Apps |
Resumo: | 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. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | ISTAR-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceObject_109448.pdf | 1,41 MB | Adobe PDF | Ver/Abrir |
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