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Figueira, J. & Coutinho, C. (2024). Developing self-adaptive microservices. In Francesco Longo , Weiming Shen, Antonio Padovano (Ed.), Procedia Computer Science. (pp. 264-273). Lisboa: Elsevier.
J. Figueira and C. E. Coutinho, "Developing self-adaptive microservices", in Procedia Computer Science, Francesco Longo , Weiming Shen, Antonio Padovano, Ed., Lisboa, Elsevier, 2024, vol. 232, pp. 264-273
@inproceedings{figueira2024_1764946627292,
author = "Figueira, J. and Coutinho, C.",
title = "Developing self-adaptive microservices",
booktitle = "Procedia Computer Science",
year = "2024",
editor = "Francesco Longo , Weiming Shen, Antonio Padovano",
volume = "232",
number = "",
series = "",
doi = "10.1016/j.procs.2024.01.026",
pages = "264-273",
publisher = "Elsevier",
address = "Lisboa",
organization = "",
url = "https://www.scopus.com/pages/publications/85189765859"
}
TY - CPAPER TI - Developing self-adaptive microservices T2 - Procedia Computer Science VL - 232 AU - Figueira, J. AU - Coutinho, C. PY - 2024 SP - 264-273 DO - 10.1016/j.procs.2024.01.026 CY - Lisboa UR - https://www.scopus.com/pages/publications/85189765859 AB - 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. ER -
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