Identifying the most used design patterns and communication methods for a microservices architecture holds paramount importance in ensuring system stability within the IT industry. With a plethora of approaches available, encompassing various design patterns and communication techniques, the selection of technologies often hinges upon the expertise and knowledge of software designers. However, designing microservices solely through human efforts poses significant challenges for companies. Moreover, the monitoring aspect presents its own set of complexities in the realm of microservices. This research aims to elucidate the prevalent design patterns and communication methods utilized in modern IT microservices environments. It also seeks to demonstrate the integration of Artificial Intelligence tools such as ChatGPT into the architecture design process, particularly in enhancing monitoring capabilities within microservices. Subsequently, a prototype is proposed to offer design guidance, as recommended by the ChatGPT and Llama 2 customized models in accordance with the specified requirements. Additionally, the study primarily seeks to identify prevalent design patterns and communication methods employed within the IT industry through the utilization of surveys and interviews conducted with both technical and non-technical personnel.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-531954 |
| Date | January 2024 |
| Creators | Wijewarna Arachchige, Shehan Thamoda |
| Publisher | Uppsala universitet, Informationssystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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