Load testing with Locust

Load testing is a practice in software development that’s used to determine the performance of a complex system under load. This is generated by simulating the concurrent access of users. Load testing web resources, such as an API, usually requires multiple agents to be orchestrated, each with enough internet bandwidth and compute resources to simulate the activity of many users.

In our scenario, we plan to verify the performance and capabilities of our Biscotti Brutti Ma Buoni sample backend, implemented with Dapr and running on Kubernetes.

Locust is a popular open source load-testing tool. It allows you to define a user’s behavior with simple Python scripts and distribute these on as many worker nodes as needed, orchestrated by a master node. More information is available at https://locust.io/.

Important note

I learned about Locust from a GitHub repository (https://github.com/yorek/locust-on-azure) that was created by my colleague...