Today, the microservices architectural style is an emerging trend in the industry. In order to develop microservices-based systems, architectural decisions are the first and fundamental steps to address quality goals. In this article, we described preliminary research about a content-based recommender system (CBRS) composed by microservices architecture patterns and architectural tactics as a basis for obtaining a recommendation of architectural decisions in microservices architectures to make more robust decisions to manage architectural technical debt.
Recently, we conducted an empirical study on open microservices-based systems and scalability. We used our pattern language in order to explore which frameworks (commonly used to develop microservices architectures) address the scalability dimensions. Results show that (1) 9 common frameworks satisfy the scalability dimensions (see the following figure, x-axis: frameworks, y-axis: microservices patterns); (2) frameworks produce trade-offs among scalability dimensions; and (3) few frameworks address several scalability dimensions at once. Finally, we identify five reusable design decisions to address scalability requirements and propose them as microservices architectural tactics.
This study was presented at the 37th International Conference of the Chilean Computer Science Society (SCCC), 2018.