Abstract
AbstractSoftware development paradigm is transitioning from monolithic architecture to microservices and serverless architecture. Keeping monolithic application as a single large unit of scale is a threat for its agility, testability and maintainability. Complete migration of a monolithic application to microservice or serverless architecture poses additional challenges. Design and development of microservices is complex and cumbersome in comparison to monoliths. As number of microservices increase, their management also becomes challenging. Using serverless platforms can offer considerable savings, however it doesn’t work for all types of workload patterns. Many a times, it may be more expensive in comparison to dedicated server deployments, particularly when application workload scales significantly. In this paper, we propose partial migration of monolith application into microservices and serverless services. For the purposes of refactoring, we use web access log data of monolith application. Our proposed architecture model is based on unsupervised learning algorithm and aims to optimize the resource utilization and throughput of an application by identifying the modules having different scalability and resource requirements. This facilitates segregation of services of a monolith application into monolith-microservice-serverless. We have applied our proposed approach on a Teachers Feedback monolith application and presented the results.KeywordsMicroservicesDecompositionRefactoringK-means clustering algorithmWeb access log miningMicroservices architectureFaaSServerless
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