In a comprehensive stress test of n8n, a workflow automation tool, the performance was evaluated on two AWS instance types, C5.large and C5.4xlarge, using different deployment modes—Single and Queue. The tests aimed to simulate heavy traffic and resource usage across various scenarios such as Single Webhook, Multi Webhook, and Binary Data handling, scaling from 3 to 200 virtual users. Results showed that the Queue mode significantly outperformed the Single mode, handling higher loads with lower latency and zero failure rates, especially on the more powerful C5.4xlarge instance. The tests demonstrated the critical importance of using Queue mode for scalability, as well as upgrading hardware to enhance throughput and reduce failures, particularly in workflows involving large binary data. These insights highlight the value of planning for scale early in the deployment of automation solutions, advising on the necessity of sufficient CPU, RAM, and disk capacity to handle demanding tasks effectively.