How an AI company used Gatling Enterprise to enhance performance infrastructure

ExploreAI initially conducted load-testing themselves by writing scripts when they heard about Gatling Enterprise from a reference. ExploreAI was introduced to load-testing by Gatling Enterprise.

With Gatling Enterprise, ExploreAI aimed to focus on their performance enhancement efforts on optimizing their Apache stack. This involved fine-tuning configuration settings for request handling, adjusting server parameters, optimizing memory allocation, and vertically scaling the machine to accommodate heavier workloads. 

ExploreAI works extensively on their database and aims to optimize indexes through approximately  40 to 50 distinct queries. Also, the company aims to decrease their current response time, which ranges from 3,000 to 5,000 milliseconds.

Despite having no prior proper experience in load testing with a tool, the ExploreAI team successfully integrated Gatling Enterprise into their workflow with minimal learning curve in February 2023.

ExploreAI achieved this by leveraging Gatling Academy's resources, documentation, and external references like Gatling Community, enabling them to harness the full potential of Gatling Enterprise. With the Gatling Enterprise support team, the integration process was easy, and the company obtained the proof of concept (POC) quickly, facilitating a compelling demonstration to ExploreAI's decision-makers.

With continuous load-testing and Gatling Enterprise's integration, ExploreAI reduced their response times to 200-300 milliseconds in a remarkably short timeframe. Since incorporating Gatling Enterprise into their testing process, ExploreAI now boasts the capability to handle ten times the volume of user traffic compared to their initial capacity. ExploreAI can smoothly support around 180,000 users monthly. 

The substantial success experienced by ExploreAI has paved the way for future expansion. ExploreAI plans to extend the usage of Gatling Enterprise and incorporate load testing into their CI/CD pipeline, further enhancing their software development and deployment processes.