This paper investigates the development of a solution for Edge Internet Traffic Steering (EITS), focusing on optimizing the performance of services at the network edge using Computing-Aware Traffic Steering (CATS) principles. Motivated by the increasing demand for low-latency connectivity, high bandwidth, resource availability, link redundancy, and efficient memory and CPU usage optimization, this research addresses the limitations of existing traffic steering approaches in meeting the static or dynamic requirements of edge services. The proposed solution leverages network and compute metrics to direct traffic to the most suitable service instance, enhancing overall performance through the use of OpenAirInterface 5G Core Network. The practical implementation of a video streaming use case demonstrated the efficacy of the solution.