Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation.
Of Max and Min: The Non-Interference Prime Directive (for Visibility)
Last issue, I cited CPU utilization as an example of a metric that is often misused to describe/explain/infer system performance and asserted that improved visibility can help to overcome such misuse. In this issue, I will expand on what improved visibility means and present two case studies that illustrate a recent antipattern that I’ve noticed […]
Of Max and Min: When Performance Engineering Plans Go Awry
Modern software developers have access to powerful tools and services which allow them to quickly develop, demo and deploy fully functional applications. But what happens when the single-user prototype satisfies all required functionality but the user says the system seems slow? Or if the initial implementation turns out fine for one user, but multiple users […]
Incorporating Performance Engineering into DevOps
Performance testing historically has been a challenge for most IT organizations. It is highly misunderstood, from executives down to the few resources allocated to perform an extremely difficult task. Most companies consider performance testing expensive and unnecessary and simply refuse to acknowledge it is a critical component of the software development life cycle. Have we […]