Load Testing Spring Microservices with Gatling
Introduction
As microservices continue to gain popularity in the world of software development, it becomes increasingly important to ensure that these services can handle real-world loads. Performance bottlenecks and issues can significantly impact user experience, making load testing an essential step in the development lifecycle.
One of the prominent tools available for load testing is Gatling. In this post, we’ll delve into how to use Gatling to conduct load tests on Spring microservices, ensuring they’re up to the task of handling user demands.
Introduction to Gatling and Spring Microservices
Ensuring the scalability and robustness of applications in today’s complex digital landscape has become more critical than ever before. As user demands surge and businesses strive to provide impeccable digital experiences, the emergence and subsequent popularity of tools like Gatling and frameworks like Spring Microservices stand as testimony to this evolving need.
Gatling, right from its inception, was an answer to the shortcomings seen in many existing load testing tools. Traditional testing instruments were bulky, often rigid, and weren’t tailored to address the challenges posed by the newer generation of web applications…
