While open-source tools like JMeter provide a starting point for load testing, scaling them to meet enterprise demands presents significant challenges for QA teams. Ad hoc tests, inconsistent metrics, and subjective pass/fail criteria often fail to keep pace with accelerated CI/CD pipelines, leading to release delays and production surprises.

This session, led by Keith Puzey, provides a practitioner-focused guide to transforming JMeter tests into a repeatable, reliable, and automated component of your CI process. We will explore how to overcome the common pitfalls of scaling open-source testing by leveraging a platform built for enterprise governance, cloud scale, and AI-powered automation.

Join this webinar to learn how to:

• Shift left and establish meaningful performance baselines that evolve with your application using AI-driven analysis.


• Define and enforce realistic thresholds aligned with business goals.


• Implement consistent, automated pass/fail criteria directly within your CI pipeline to empower QA practitioners


• Unify performance, functional, and API testing on a single platform built on open-source execution.


• Operationalize a CI Performance Gate to enable faster, higher-quality releases.

Discover how to integrate JMeter seamlessly into your CI/CD workflow to ensure performance validation is predictable, scalable, and ready for enterprise-level automation.