This article explores how specific AWS services can be connected to efficiently handle high-frequency workloads. Processing and persisting high-frequency data in real time is a challenging task, with multiple approaches available. In this research, we build an AWS-based infrastructure capable of processing over 100,000 requests per hour, utilizing various AWS services to achieve this goal. The experiment simulates a system designed for real-time messaging applications, where data is processed at high frequency. The infrastructure is designed to scale and process messages with a maximum delay of 500 ms. The entire system is cloud-based and leverages AWS services to ensure scalability and reliability. A real-time test demonstrates that all 108,000 requests are successfully processed and stored in the database. Key outputs of this research include Terraform code that provisions the entire AWS infrastructure, a comprehensive diagram detailing the infrastructure components and their functionality, and the test results verifying system performance. This study provides valuable insights into building scalable, cost-effective cloud solutions for high-frequency data processing.