JMeter Script Generation through AI
AI is getting better in many areas, so why hasn’t it been used much in performance testing? Creating performance test scripts with AI isn’t very hard. The real challenge is instructing AI, exactly what you…
Prompt Engineering for Performance Testing
Prompt engineering for performance testing involves crafting precise and goal-oriented prompts that effectively assess and evaluate the behavior, reliability, and responsiveness of a system, especially when dealing with AI models, APIs, or software components under…
JMeter Dynamic Value Verification
In Apache JMeter, various types of post-processors are available to capture dynamic values such as session IDs, authentication tokens, or transaction IDs. These post-processors are designed to extract and store data from server responses for…
JMeter Plugins Manager Installation
The JMeter Plugins Manager is an easy-to-use graphical interface built into JMeter that allows users to browse available plugins. It also helps to install, upgrade or remove plugins. You can also check for updates of…
Measure CPU Utilization of Cloud Based Architecture
To measure CPU utilization in a cloud-based architecture, or, to be specific, in a cluster (e.g., a Kubernetes cluster, Hadoop cluster, or any distributed system), you need to monitor CPU usage across all nodes in…
Performance Testing & Engineering Training Updates
Welcome to the Performance Testing & Engineering Training Updates page—your comprehensive repository for announcements regarding forthcoming training programs conducted by various esteemed institutes and industry-recognized trainers. This page is updated regularly with detailed course schedules,…