FaaS in Private Cloud for Optimizing Computational Resource Consumption in Infrastructure Operations
FaaS, Function-as-a-Service, Private Cloud, Dataprev, OpenWhisk.
Since its emergence in mid-2014, the Function-as-a-Service (FaaS) cloud service model has seen remarkable growth in its adoption by users, offering benefits such as cost reduction, automatic scalability, and agile development based on microservices, with several public cloud vendors providing this model on their catalogs. Given the various available cloud service models, this work presents an adoption proposal based on the evaluation, selection, and provisioning of open-source FaaS platforms, eligible for implementation in the private
cloud environment of a large public company. The objective is to implement the FaaS service model in a real private cloud, in order to allow the comparison in infrastructure operations related to the manipulation of a large volume of data, more specifically in the use cases referring to the interaction with the document’s database textitElasticsearch,
and also in the interaction with the company’s object storage (Dell ECS S3). The initial experiments showed promising results in relation to the availability of the elasticity resource and in the economy of computational resources.