In simple terms, performance testing is a software testing practice used to determine stability, responsiveness, scalability, and most important, speed of the application under a given workload. The goal of performance testing is to eliminate any performance bottlenecks in the application.
All this data gives you insight into how your application would perform in production with thousands of concurrent users. There are many performance testing tools on the market to enable performance testing, but today we’ll compare Speedscale and Locust briefly.
Speedscale is a managed performance testing solution designed specifically for Kubernetes. You can test your API with real-world scenarios and simulate the traffic as a part of your continuous integration pipeline without needing to write any scripts.
Locust is an open-source load testing tool written in Python. You can write a test against your application in Python, which simulates user behavior and runs the test at scale to find performance issues and bottlenecks. Every process in Locust can be monitored from a web UI in real time.