Performance engineering entails continuous end-to-end testing and defect identification in real-time, even before the performance test is completed. Real-time analytics allow the performance engineer to quickly provide feedback to the developer and begin troubleshooting at an early stage in the development process.

Performance problems that escaped testing and need to be corrected in upcoming releases can be identified using different key performance indicators (KPIs) in the field. To improve performance, developers can get more detailed feedback by capturing and assessing end-user sentiment.

In this white paper, you will learn:

  • How to gain real-time feedback to help with troubleshooting in the development process.
  • How to capture end-user sentiment
  • The technical implementation of large language models (LLM’s)

Meet The Authors

Pragnaya Priyadarshini, Performance Engineer


Pragnaya Priyadarshini is an experienced Associate Consultant with a demonstrated history of Non-Functional and Functional Testing. She currently works in NFT as Performance Test Engineer at Qualitest.

Sayan Bhattacharya, Performance Engineer


Sayan Bhattacharya is a Performance Engineer at Qualitest whose responsibilities includes conducting performance testing on the Salesforce application which is integrated with Snowflake DB, using tools like JMeter.