Serverless computing has emerged as a significant paradigm in cloud computing, enabling scalable and cost-efficient execution of event-driven workloads, known as Function-as-a-Service (FaaS). Among the leading FaaS platforms, AWS Lambda is the most widely used. Optimizing it for performance and cost is challenging, due to numerous configuration parameters. We developed a tool which we used in experiments examining different configurations and processors architectures for several algorithms. In this paper one of such experiments is presented in details.