Quality in the Era of Agentic AI: Redefining Performance Engineering
Is your business ready for the next traffic surge?
As organisations accelerate AI adoption, traditional performance testing approaches are struggling to keep pace with increasingly complex AI-driven workloads and agentic applications.
Join OpenText experts to explore how performance engineering is evolving for the AI era. Learn how leading organisations are testing AI-enabled applications at scale, improving resilience, meeting governance requirements, and using AI to boost performance engineering productivity.
Join this webinar and learn:
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How agentic AI is changing performance engineering requirements
- Why traditional testing approaches fall short for AI-enabled applications
- How to validate AI workloads under enterprise-scale demand
- Strategies for balancing speed, quality, performance, and reliability
- How to generate resilience evidence and improve governance readiness
- Ways AI-powered capabilities can help performance engineering teams work smarter and faster
As AI adoption accelerates, organisations need new approaches to ensure applications remain performant, scalable, and reliable. Discover how leading teams are leveraging AI-powered testing and performance engineering practices to improve productivity, reduce risk, and deliver better digital experiences.
By the end of this session, you'll be ready for anything, from holiday shopping peaks to unexpected traffic spikes, helping ensure seamless application performance no matter the demand.

